TRC-30: 30TH ANNIVERSARY OF TRANSPORTATION RESEARCH PART C

This page contains an index consisting of author-provided keywords.

A
Accessibility	A Hierarchical Model for Ascending-Descending Multimodal Itinerary Formation
accident prediction	Traffic accident prediction via three-dimensional convolution autoencoder and victim-party demographic data
Activity Based Modelling	Activity Scheduling with Deep Generative Models
Activity Networks	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Activity Scheduling	Activity Scheduling with Deep Generative Models
Activity Simulation	Activity Chain Generation with Dynamic object-oriented Bayesian Networks
Activity-based Modelling	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities Novel framework to generate a synthetic population with diversities in transport modelling
Actuated signal control policy	Integrating an actuated signal control policy with queue-based green light optimal speed advisory (Q-GLOSA) systems
Actuator	Unjamming urban traffic: data-driven control and actuator selection strategies
adaptation	Distributed Adaptive Signal Control based on Shockwave Theory
adaptive control	Distributed Adaptive Signal Control based on Shockwave Theory
Adaptive perimeter control	Adaptive perimeter control of traffic networks with closed-loop data
Adaptive Traffic Signal Control	Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
Adversarial learning	Estimation of Behavioral Asymmetry in Multi-Agent Interaction using Satellite Imagery
Adverse weather	The Effectiveness of Large Language Models for Textual Analysis in Air Transportation
Agent-based model	An algorithm to model a parking search considering multiple users in urban areas.
Air traffic congestion	A Hybrid Framework of Traffic Simulation and Management for Large-scale Urban Air Mobility
Air traffic control	ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control
Air traffic management	ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control
Air transportation	The Effectiveness of Large Language Models for Textual Analysis in Air Transportation
aircraft cabin	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
Airspace design	Graph attention reinforcement learning for 3D multi-modal automated on-demand delivery system
alternating differentiation method	An end-to-end predict-then-optimize method for on-demand vehicle relocation in mobile sensing
Amazon research challenge	Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic
Analytical Hierarchy Process	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output.
Analytical model	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
Annual Average Daily Traffic	Using Machine Learning to Estimate Annual Average Daily Traffic by Vehicle Type on Local Roads with High-dimensional Geospatial Data
Anomaly detection	Structured Tensor RPCA: Anomaly Detection in Traffic Data
artificial intelligence	Traffic accident prediction via three-dimensional convolution autoencoder and victim-party demographic data
Ascending-descending formation	A Hierarchical Model for Ascending-Descending Multimodal Itinerary Formation
augmented ε-constraint	Augmented ε-Constraint-Based Optimization for Multi-Objective Multi-Modal Transport Networks Management
Automated bus	Shared Passenger-Freight Transport in Automated Bus Systems: Optimization Model and Solution
automated shuttles	A large-scale survey for assessing the influence of modern mobility services and automated driving on the willingness to use park-and-ride
Automated vehicles	Impact of drivers' take-over manoeuvres on automated vehicles' traffic flow dynamics Controlling Automated Vehicles on Lane-free Roundabouts via a Nonlinear Controller Spatial Differences in Pedestrian-AV Interactions in Future Urban Environments: A Large-Scale VR Study
Automated Vehicles (AVs)	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Automatic Passenger Counting	Estimating on-board crowding in complex public transport networks from incomplete automatic passenger counts
automatic valet parking	A large-scale survey for assessing the influence of modern mobility services and automated driving on the willingness to use park-and-ride
Autonomous Delivery Vehicles	Formulation of the Parallel Scheduling Vehicle Routing Problem
Autonomous Driving	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model
Autonomous driving system	Modelling riders’ intervention behavior during high-level autonomous driving under extreme conditions: Insights from a VR-enabled simulation study
Autonomous intersection management (AIM)	Efficient Real-Time CAV Trajectory Optimization at Signal-Free Intersections Using a Greedy-Based Heuristic Approach
autonomous vehicle	Potentialities of autonomous modular buses in branched lines with smart control strategies
B
Bayesian inference	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Bayesian Network	Activity Chain Generation with Dynamic object-oriented Bayesian Networks
Bayesian networks
Bayesian Optimization	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
Behavioral adaptation	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections?
Behavioral Intention	Investigating Young People’s Preferences on Demand-Responsive Transportation and Ride-Matching Apps
bi-level adjustment	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks.
Bike-sharing	Flow-Dependent Facility Location Optimization in Continuous Space for Bike-share Network Design
Bilinear program	Exact numerical solution method for a train eco-driving problem
blended wing body	Agent based modelling of blended wing body aircraft boarding strategies
boarding	Agent based modelling of blended wing body aircraft boarding strategies
Bottleneck	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
branched bus routes	Potentialities of autonomous modular buses in branched lines with smart control strategies
Bundled services	Ridesourcing markets with a bundled service option
bus bunching	AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
bus control strategies	Potentialities of autonomous modular buses in branched lines with smart control strategies
C
Calibration and Validation	Calibrating Traffic Simulation Models with Limited Field Data: A Case Study on New Jersey Turnpike
Capacity	Potentials of the digital automatic coupling in European rail freight transport
capacity allocation	Simulation-based network capacity allocation optimization for traffic resilience via enhanced mixed stochastic approximation
Capacity estimation	Dynamic Capacity Estimation for Link Selection in Macroscopic Fundamental Diagram (MFD) Modeling
capacity management	Improving rail infrastructure resilience in station areas through strategic infrastructural changes
car-following	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Car-following models	Understanding Physics and AI Synergy in Car-following Models
Causal Inference	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
causal statistical modelling	URBAN RAIL TRANSIT AND GREEN URBANISATION
CAV trajectory optimization	Efficient Real-Time CAV Trajectory Optimization at Signal-Free Intersections Using a Greedy-Based Heuristic Approach
cell transmission model	Enhancing Origin-Destination Matrix estimation using measurements from Unmanned Aerial Vehicles
cellular automaton	Agent based modelling of blended wing body aircraft boarding strategies
charging demand	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities
Charging service for Electric vehicles	Online operation strategies for crowdsourced mobile charging service
Charging Station Recommendation	[MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
Choice-based optimization	An Outer-Inner Approximation Method for the Generic Choice-based Optimization Problem
Classification	Feature importance estimation using clustering and classification for risky driving behaviour
climate change	Predicting the Environmental Impacts of Changing Global Maritime Freight Flows with Thawing Arctic Sea Ice URBAN RAIL TRANSIT AND GREEN URBANISATION
clique-based approach	Level-1 truck platooning optimisation: methodology and network-wide
closed-loop data	Adaptive perimeter control of traffic networks with closed-loop data
Clustering	Feature importance estimation using clustering and classification for risky driving behaviour
co-simulation	Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study
Cognitive state	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Collaborative logistics	[MFTS 9640]A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Collaborative Passenger-Parcel transport	Dynamic service operation for collaborative passenger-parcel transport: A deep reinforcement learning based approach
Collision avoidance	A Hybrid Framework of Traffic Simulation and Management for Large-scale Urban Air Mobility
Combinatorial reconfiguration	Combinatorial reconfiguration problem based on MFD for evacuation management under disasters
communication environment	Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study
commuting behavior	Evaluating user preferences and receptivity to shared autonomous vehicles in urban commuting scenarios
Complex System	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
computational graph	Enhancing dynamic origin-destination demand estimation with traffic densities captured from high-resolution satellite imagery
concept of operations	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
conditional generative adversarial imitation learning	[MFTS 6173] Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
Conflict prediction	A stacked ensemble model for traffic conflict prediction in different road environments with multi-modal sensor data
congestion growth prediction
Congestion heatmap imagery	M2NN: Multi-task Multi-view Neural Network Using Congestion Heatmap Imagery for Incident Prediction on Road Segments
congestion pricing	Congestion pricing in multimodal networks: an application of deep reinforcement learning Dynamic system optimal pricing for shared autonomous vehicles in congestible networks: Theoretical properties
Connected and automated vehicle	Macroscopic Modeling and Optimization of Two-Region Mixed Autonomy Network with Park-and-Ride
Connected and Automated Vehicles	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output. Signal-Free Intersections and Automated Vehicles | A Case Study in Heraklion, Crete, Greece
Connected and Autonomous Vehicles	Mean Field Game in Autonomous Lane-Free Traffic
Connected and Autonomous Vehicles (CAVs)	Estimating Traffic Signal Settings and Queue Lengths Using Connected and Autonomous Vehicles Data
Connected automated vehicles	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study Definition of strategies to optimize the platooning of connected automated vehicles on freeways
connected autonomous vehicles	Learning Eco-driving Strategies that Generalize
connected component	Enabling stop-and-go wave analysis for massive trajectory data
connected vehicle	Data-Driven Robust Optimization for Traffic Signal Timing Based on Connected Vehicles: Modeling Variability and Errors Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study Deep-reinforcement-learning-based Control of Saturated Traffic at Lane-drop Freeway Bottlenecks via Longitudinal and Lateral Trajectory Planning for Limited Connected Vehicles
Constrained deep reinforcement learning	Multimodal Traffic Signal Control via Constrained Deep Reinforcement Learning
Constrained Markov decision process	Multimodal Traffic Signal Control via Constrained Deep Reinforcement Learning [MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
consumer behavior	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
continuous approximation	A two-stage stochastic optimization model for sidewalk robot food delivery systems
Continuous time Markov processes	Train Delay Evolution Model Using Continuous Time Markov Processes
Continuum approximation	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning Flow-Dependent Facility Location Optimization in Continuous Space for Bike-share Network Design Optimal design of on-demand feeder services with modular autonomous vehicles
continuum model	A hybrid traffic flow model for large-scale federated networks
Control	Unjamming urban traffic: data-driven control and actuator selection strategies
Convex Optimization	A UAV-Based Real-Time Traffic State Estimation System for Urban Road Networks
Convex relaxation	Exact numerical solution method for a train eco-driving problem
convolutional neural network	A deep learning-based approach to recognize passengers' transport mode and trip phases
Cooperation schemes	Optimal cooperation schemes for last-mile deliveries in cities
Cooperative traffic signal control	ENB-RL: Multi-Agent Reinforcement Learning with Explicit Neighbourhood Backtracking for Cooperative Traffic Signal Control
Coordinated control systems	Mean Field Game in Autonomous Lane-Free Traffic [MFTS 1188] A Hierarchical Control Approach for Repositioning Ride-Hailing Vehicles
coordination	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Coupled Transportation-Power Systems	[MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
crash	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Crash detection	Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges
Crash narrative	Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges
Crash risk estimation	A Synergistic Approach to Real-Time Crash Risk Estimation at Signalized Intersections: Integrating Learning-Based Anomaly Detection with Extreme Value Theory
critical path evaluation	Path-based Network Signal Coordination Control Optimization: Multi-agent System Modeling
Crossing wait time	Spatial Differences in Pedestrian-AV Interactions in Future Urban Environments: A Large-Scale VR Study
Crowd flow	On numerical investigation of epidemics transport dynamics using a coupled PDE crowd flow - epidemics spreading dynamics model
Crowd psychology	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
Crowd-sourced Data	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
Crowdsourced delivery	[MFTS 9640]A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Crowdsourced mobile charging	Online operation strategies for crowdsourced mobile charging service
Curb management	Optimal Curbside Pricing and Space Allocation for Managing Multi-modal Travelers in Dynamic Networks
Cycling transport network	Maximizing Safety in Cycling Networks through Optimal and Gradual Upgrading
Cyclists	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study
D
Data Imputation	[MFTS 6427] ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
Data poisoning attacks	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Data privacy	Collaborating Without Compromising Privacy: Traffic Signal Control via Vertical Federated Reinforcement Learning
data resolution	A Multi-Phase Deep Learning Methodology for Short Term Traffic Flow Prediction
Data Security	A Federated Learning-Based Traffic Prediction Approach with Graph Spatial Information Aggregation Mechanism
Data-driven	Unjamming urban traffic: data-driven control and actuator selection strategies Predicting the Environmental Impacts of Changing Global Maritime Freight Flows with Thawing Arctic Sea Ice
Data-driven model	Modeling lane changes using parallel learning
data-driven uncertainty set	Data-Driven Robust Optimization for Traffic Signal Timing Based on Connected Vehicles: Modeling Variability and Errors
Data-informed routing	Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic
Day-to-day dynamics	The day-to-day mode choice analysis under Mobility-as-a-Service bundle subscription
DDQN	Congestion pricing in multimodal networks: an application of deep reinforcement learning
Decision-making	Vision-language Fusion for Road Marking Detection in Autonomous Driving
Decomposition approach	Joint Planning of Passenger and Freight Trains in High-Speed Railway Express System
Deep Generative Modelling	Activity Scheduling with Deep Generative Models
deep learning	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models A Multi-Phase Deep Learning Methodology for Short Term Traffic Flow Prediction Activity Scheduling with Deep Generative Models Traffic accident prediction via three-dimensional convolution autoencoder and victim-party demographic data
Deep reinforcement learning	Learning-based Incentive Design for Eco-Driving Guidance Hierarchical Traffic Signal Coordination with Priority-based Optimization via Deep Reinforcement Learning Dynamic service operation for collaborative passenger-parcel transport: A deep reinforcement learning based approach Multi-scale model-free perimeter control and local signal control in urban networks Deep-reinforcement-learning-based Control of Saturated Traffic at Lane-drop Freeway Bottlenecks via Longitudinal and Lateral Trajectory Planning for Limited Connected Vehicles Graph attention reinforcement learning for 3D multi-modal automated on-demand delivery system [MFTS 6943] Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Demand allocation	Ridesourcing markets with a bundled service option
demand and supply	AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
Demand forecasting	Inland Waterway Freight Demand Forecasting with Spatio-temporal Dynamic Graph Attention-based Multi Attention Model
demand management	alpha-fair tradable credit schemes Congestion-aware optimization of school start times: A macroscopic approach
Demand modeling	Optimization of Subsidized Air Transport Networks using Electric Aircraft
Demand prediction	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
Demand Responsive Transport (DRT)	Heuristic Approach for Solving Demand Responsive Transport Scheduling Problems
demand-responsive connector	Optimal demand-responsive connector design: Comparing a fully-flexible routing strategy and a semi-flexible routing strategy
demand-responsive mobility	Scaling Urban Mobility Transformation: Ride-Sharing Meets Mass Transit
Demand-Responsive Transportation	Investigating Young People’s Preferences on Demand-Responsive Transportation and Ride-Matching Apps
Dial-a-ride problem	Real-Time Multi-Depot Dial-a-Ride Problem Considering Traffic Dynamics and EV Fleet
Differential Game	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Differential privacy	Privacy-Preserving Personalized Pricing and Matching of Ride-Hailing Platforms
Digital Automatic Coupling	Potentials of the digital automatic coupling in European rail freight transport
dilemma zone	Multimodal Traffic Signal Control via Constrained Deep Reinforcement Learning Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study
discrepancies	Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France).
discrete choice	A perturbed utility model with semi-nonparametric perturbation function
Discrete choice model	Discrete Choice-Based Optimization Approach for Dynamic Large-Scale Multi-Compartment Vehicle Routing in Reverse Logistics.
Discrete Choice Modeling	Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling Investigating Young People’s Preferences on Demand-Responsive Transportation and Ride-Matching Apps
disruption	Improving rail infrastructure resilience in station areas through strategic infrastructural changes
Distributed Coordination	Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
driver behavior	Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
Driver experience	Priority Pass: Fair and Efficient Signalized Intersection Control
Driver takeover	Impact of drivers' take-over manoeuvres on automated vehicles' traffic flow dynamics
Drivers	On the potential of Idle wages to regulate the relationship between ride-hailing platforms and drivers
driving performance	Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study
driving simulator	Assessing Driver Decision-Making and Behavior in the Dilemma Zone Across Different Connected Environments: A Driving Simulator Study
Drone delivery	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning [MFTS 6943] Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Drone-based data collection	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
drones	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance Formulation of the Parallel Scheduling Vehicle Routing Problem
Dynamic Attention Model	Dynamic service operation for collaborative passenger-parcel transport: A deep reinforcement learning based approach
Dynamic compensation	Dynamic confirmation, compensation and routing for combined transportation of passengers and parcels
Dynamic graph	Inland Waterway Freight Demand Forecasting with Spatio-temporal Dynamic Graph Attention-based Multi Attention Model
Dynamic Graph Spatial Relationship	A Federated Learning-Based Traffic Prediction Approach with Graph Spatial Information Aggregation Mechanism
Dynamic lane configuration	Dynamic Lane Configuration: Bridging Traffic Management and Infrastructure Design
Dynamic link selection	Dynamic Capacity Estimation for Link Selection in Macroscopic Fundamental Diagram (MFD) Modeling
dynamic multi-level traffic simulation	Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network
Dynamic network modeling	Optimal Curbside Pricing and Space Allocation for Managing Multi-modal Travelers in Dynamic Networks Enhancing dynamic origin-destination demand estimation with traffic densities captured from high-resolution satellite imagery
Dynamic OD estimation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks.
dynamic programming	How Useful Can Parking Availability Information Be?
Dynamic routing	[MFTS 6943] Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
dynamic simulation level assignment	Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network
Dynamic stochastic vehicle routing	Dynamic confirmation, compensation and routing for combined transportation of passengers and parcels
Dynamic topic modeling	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
dynamic traffic assignment	Dynamic system optimal pricing for shared autonomous vehicles in congestible networks: Theoretical properties
Dynamic Transformer	Graph attention reinforcement learning for 3D multi-modal automated on-demand delivery system
Dynamic vehicle routing problem	Discrete Choice-Based Optimization Approach for Dynamic Large-Scale Multi-Compartment Vehicle Routing in Reverse Logistics.
E
E-hailing	A Top-to-Bottom Reposition Method for Ride-hailing Platforms
eco-driving	Learning Eco-driving Strategies that Generalize
economic equilibrium	Piggyback on Idle Ride-Hailing Drivers for Integrated On-Demand and Flexible Parcel Delivery Services
Electric Aircraft	Optimization of Subsidized Air Transport Networks using Electric Aircraft
Electric cargo bikes	A Load-Dependent Heterogeneous Vehicle Routing Approach for Hybrid Electric Cargo Bicycles Considering Rider Fatigue
Electric Vehicle	[MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
Electric vehicles	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning Real-Time Multi-Depot Dial-a-Ride Problem Considering Traffic Dynamics and EV Fleet Dedicated Gating Strategy for Multi-Variate Traffic Flow Streams
Electromobility networks	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
emergency procedures	Intermodal Safety Net for Urban Air Mobility
Emerging Technologies	Potentials of the digital automatic coupling in European rail freight transport
Emerging Technology	Formulation of the Parallel Scheduling Vehicle Routing Problem
emission-based signal control	Emission based signal control optimization on arterials
emissions	Predicting the Environmental Impacts of Changing Global Maritime Freight Flows with Thawing Arctic Sea Ice A machine learning meta-model for efficient quantification of intersection performance in large-scale urban road networks
Energy consumption	A Load-Dependent Heterogeneous Vehicle Routing Approach for Hybrid Electric Cargo Bicycles Considering Rider Fatigue
energy efficiency	URBAN RAIL TRANSIT AND GREEN URBANISATION
ensemble learning	Ensemble-Based Fractional Split Multinomial Logit Model: An Application to Work Commute Mode Shares for Localized Transportation Planning
Epidemics transport	On numerical investigation of epidemics transport dynamics using a coupled PDE crowd flow - epidemics spreading dynamics model
Equilibrium	Estimation of Behavioral Asymmetry in Multi-Agent Interaction using Satellite Imagery
Equity	A Machine Learning-Enhanced Column Generation for Vaccine Distribution
error modeling	Data-Driven Robust Optimization for Traffic Signal Timing Based on Connected Vehicles: Modeling Variability and Errors
Evacuation	Combinatorial reconfiguration problem based on MFD for evacuation management under disasters
EVs Models	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
Explainable AI (XAI)	Uncertainty-aware framework for real-time traffic incident prediction
explainable machine learning	Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
Explicit neighbourhood backtracking	ENB-RL: Multi-Agent Reinforcement Learning with Explicit Neighbourhood Backtracking for Cooperative Traffic Signal Control
Extreme conditions	Modelling riders’ intervention behavior during high-level autonomous driving under extreme conditions: Insights from a VR-enabled simulation study
Extreme value theory	A Synergistic Approach to Real-Time Crash Risk Estimation at Signalized Intersections: Integrating Learning-Based Anomaly Detection with Extreme Value Theory
Eye-tracking	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
F
Facility location problem	Flow-Dependent Facility Location Optimization in Continuous Space for Bike-share Network Design
Fairness	Priority Pass: Fair and Efficient Signalized Intersection Control
Feature importance calculation	Feature importance estimation using clustering and classification for risky driving behaviour
Feature Selection	Using Machine Learning to Estimate Annual Average Daily Traffic by Vehicle Type on Local Roads with High-dimensional Geospatial Data
Federated Learning	A Federated Learning-Based Traffic Prediction Approach with Graph Spatial Information Aggregation Mechanism
feeder	Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles — Service Design, Simulation, and Analysis
feeder service	Optimal demand-responsive connector design: Comparing a fully-flexible routing strategy and a semi-flexible routing strategy
flex-route transit	Optimal demand-responsive connector design: Comparing a fully-flexible routing strategy and a semi-flexible routing strategy
Floating Car Data	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
flow arrival pattern control	Deep-reinforcement-learning-based Control of Saturated Traffic at Lane-drop Freeway Bottlenecks via Longitudinal and Lateral Trajectory Planning for Limited Connected Vehicles
flow patterns	A Novel Passenger Travel-time and Destination Distribution Model for Day-ahead Forecasting
Fractal theory	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
freeway bottleneck	Deep-reinforcement-learning-based Control of Saturated Traffic at Lane-drop Freeway Bottlenecks via Longitudinal and Lateral Trajectory Planning for Limited Connected Vehicles
freeway traffic	Enabling stop-and-go wave analysis for massive trajectory data
Freeway Traffic Management	Mean Field Game in Autonomous Lane-Free Traffic
Freight Trains	Potentials of the digital automatic coupling in European rail freight transport
Freight transport	Optimal cooperation schemes for last-mile deliveries in cities
Freight vehicle	An algorithm to model a parking search considering multiple users in urban areas.
Frist-Come-First-Served (FCFS)	Heuristic Approach for Solving Demand Responsive Transport Scheduling Problems
Fundamental Diagram	Dedicated Gating Strategy for Multi-Variate Traffic Flow Streams
Fusing traffic data	Area-based mean speed estimation focusing on loop and sparse trajectory data
Fuzzy Systems	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
G
Game theoretical interactions in mobility	Game-Theoretical Model of Pricing in Multi-Modal Transportation Systems with Public and Private Players
Gap Acceptance	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections?
GAT	Inland Waterway Freight Demand Forecasting with Spatio-temporal Dynamic Graph Attention-based Multi Attention Model
Gaussian Process Model	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations A UAV-Based Real-Time Traffic State Estimation System for Urban Road Networks
Gaussian processes	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
generalised signal scheme	A generalised signal timing scheme at isolated intersections considering multi-modal pedestrian crossings
generalization	Learning Eco-driving Strategies that Generalize
Generalized error bounds	Understanding Physics and AI Synergy in Car-following Models
Ghost kitchens	Optimising ghost kitchen location for on-demand delivery by a Markov model for circulating couriers
goods transport	Predicting the Environmental Impacts of Changing Global Maritime Freight Flows with Thawing Arctic Sea Ice
GPS data	A deep learning-based approach to recognize passengers' transport mode and trip phases
granger causality	A Causal, Theory-Informed Framework for Traffic Flow Forecasting
Graph attention network	Graph attention reinforcement learning for 3D multi-modal automated on-demand delivery system
graph neural network	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather Real-time Ride-matching and Vehicle Dispatching in a Flexible Mobility-on-demand Bus System
graph theory	Theoretical insights into parking search to guide parking-related policies and smart-parking solutions
ground traffic management	Intermodal Safety Net for Urban Air Mobility
group effect enrichment	[MFTS 6173] Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
H
Hankel tensor	Structured Tensor RPCA: Anomaly Detection in Traffic Data
Heterogeneity	Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective Dynamic Capacity Estimation for Link Selection in Macroscopic Fundamental Diagram (MFD) Modeling
heterogeneous users	MobilityCoins -- Tradable credits and heterogeneous user groups: effects of allocation and charging schemes in large-scale networks
Hidden Markov	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
High Capacity Mobility-on-Demand	Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling
High-dimensional Data	Using Machine Learning to Estimate Annual Average Daily Traffic by Vehicle Type on Local Roads with High-dimensional Geospatial Data
High-speed express system	Joint Planning of Passenger and Freight Trains in High-Speed Railway Express System
Highway Portal	Stochastic Fundamental Diagram: Calibration and Application
Highway Traffic Modelling	Stochastic Fundamental Diagram: Calibration and Application
household travel surveys	Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France).
Human factors	Impact of drivers' take-over manoeuvres on automated vehicles' traffic flow dynamics
Hybrid deep learning	M2NN: Multi-task Multi-view Neural Network Using Congestion Heatmap Imagery for Incident Prediction on Road Segments
Hybrid metaheuristic	Recyclables’ Collection Planning using Sensor-based Information for Bin Fill Levels: Methodology and Application
Hybrid traffic model	A hybrid traffic flow model for large-scale federated networks
hysteresis	Hysteresis in Freeway Travel Time Variability
I
I-24 Motion	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
Idle wage	On the potential of Idle wages to regulate the relationship between ride-hailing platforms and drivers
imbalanced demand	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
impact assessment	Learning Eco-driving Strategies that Generalize
Implicit neural representations	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
in-station coupling model	Investigation of in-station coupling and decoupling effect on railway capacity using virtual coupling technique
in-station decoupling model	Investigation of in-station coupling and decoupling effect on railway capacity using virtual coupling technique
incentive	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
Incentive Design	Learning-based Incentive Design for Eco-Driving Guidance
individual behavior learning	[MFTS 6173] Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
Infrastructure-enabled defense	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Inland waterway transportation	Inland Waterway Freight Demand Forecasting with Spatio-temporal Dynamic Graph Attention-based Multi Attention Model
Insertion Heuristic (IH)	Heuristic Approach for Solving Demand Responsive Transport Scheduling Problems
Integrated passenger freight transport	Shared Passenger-Freight Transport in Automated Bus Systems: Optimization Model and Solution
Integrated passenger-and-parcel transportation	Dynamic confirmation, compensation and routing for combined transportation of passengers and parcels
Integrated simulation platform	Integrating an actuated signal control policy with queue-based green light optimal speed advisory (Q-GLOSA) systems
Intelligent Transportation System	Learning-based Incentive Design for Eco-Driving Guidance
Intelligent transportation systems	Priority Pass: Fair and Efficient Signalized Intersection Control A hybrid traffic flow model for large-scale federated networks
Interaction Understanding	Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model
Interactions	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Interdependent networks	Joint Modelling and Robustness Analysis of Multimodal Transportation and Electricity Networks
Intermodal Optimisation	Developing a Personalised End-to-End Optimisation Algorithm for Smart Parking Systems
Intermodal Trips	A Link-based Recursive Logit Model Integrating Path-Based Attributes in Multimodal Networks
intermodality	Intermodal Safety Net for Urban Air Mobility
Internal Boundary Control	Integrated Control of Internal Boundaries and Signal Timing at An Isolated Intersection for Lane-free Traffic of CAVs
Internet of things	Discrete Choice-Based Optimization Approach for Dynamic Large-Scale Multi-Compartment Vehicle Routing in Reverse Logistics.
intersection management	AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
Intersection Performance	A machine learning meta-model for efficient quantification of intersection performance in large-scale urban road networks
Intervention behavior	Modelling riders’ intervention behavior during high-level autonomous driving under extreme conditions: Insights from a VR-enabled simulation study
isolated intersection	A generalised signal timing scheme at isolated intersections considering multi-modal pedestrian crossings
J
Joint control	Multi-scale model-free perimeter control and local signal control in urban networks
journey-to-work mode share	Ensemble-Based Fractional Split Multinomial Logit Model: An Application to Work Commute Mode Shares for Localized Transportation Planning
K
Kalman filter	Estimating on-board crowding in complex public transport networks from incomplete automatic passenger counts
keyframe interpolation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks.
Knowledge Distillation	Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model
KPZ Universality Class	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
L
Lagrangian Method	[MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
Lane change	Modeling lane changes using parallel learning
Lane-changing behavior	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
Lane-free traffic	Controlling Automated Vehicles on Lane-free Roundabouts via a Nonlinear Controller Mean Field Game in Autonomous Lane-Free Traffic Ramp metering in lane-free vehicular traffic via variable speed limits
Lane-free Traffic of CAVs	Integrated Control of Internal Boundaries and Signal Timing at An Isolated Intersection for Lane-free Traffic of CAVs
Large language model	Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges Large Language Models for Travel Behavior Prediction
Large language models	ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control The Effectiveness of Large Language Models for Textual Analysis in Air Transportation Vision-language Fusion for Road Marking Detection in Autonomous Driving
Last-mile delivery	Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic Dynamic service operation for collaborative passenger-parcel transport: A deep reinforcement learning based approach Formulation of the Parallel Scheduling Vehicle Routing Problem
Last-mile logistics	Optimal cooperation schemes for last-mile deliveries in cities A Load-Dependent Heterogeneous Vehicle Routing Approach for Hybrid Electric Cargo Bicycles Considering Rider Fatigue
Learning	Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective
Learning-based anomaly detection	A Synergistic Approach to Real-Time Crash Risk Estimation at Signalized Intersections: Integrating Learning-Based Anomaly Detection with Extreme Value Theory
LightGBM	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Linear SVM	A Machine Learning-Enhanced Column Generation for Vaccine Distribution
Link transmission model	Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
Local search	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Location-Allocation	A Machine Learning-Enhanced Column Generation for Vaccine Distribution
Location-Based Service Data	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
logistics networks	Predicting the Environmental Impacts of Changing Global Maritime Freight Flows with Thawing Arctic Sea Ice
longitudinal trajectory data	[MFTS 6173] Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
Loop detector data	Area-based mean speed estimation focusing on loop and sparse trajectory data
Low-Rank Modeling	[MFTS 6427] ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
M
MaaS bundle subscription	The day-to-day mode choice analysis under Mobility-as-a-Service bundle subscription
machine and deep learning	AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
Machine learning	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties A machine learning meta-model for efficient quantification of intersection performance in large-scale urban road networks Using Machine Learning to Estimate Annual Average Daily Traffic by Vehicle Type on Local Roads with High-dimensional Geospatial Data
Machine Learning Based Column Generation	A Machine Learning-Enhanced Column Generation for Vaccine Distribution
macroscopic fundamental diagram	Adaptive perimeter control of traffic networks with closed-loop data
Macroscopic Fundamental Diagram (MFD)	[MFTS 1188] A Hierarchical Control Approach for Repositioning Ride-Hailing Vehicles
Makespan	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Map Matching	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach Map-Matching is No Longer Needed: An End-to-End GPS-based Traffic Speed Prediction
Maritime Transportation	Ship routing in Particularly Sensitive Sea Areas
Markov chain	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Markov chain Monte Carlo	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Markov chain Monte Carlo simulation
Markov chains	Optimising ghost kitchen location for on-demand delivery by a Markov model for circulating couriers
Marshalling yards	Potentials of the digital automatic coupling in European rail freight transport
matrix factorization	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
max-min fairness	alpha-fair tradable credit schemes
maximum throughput	alpha-fair tradable credit schemes
meal delivery	Optimising ghost kitchen location for on-demand delivery by a Markov model for circulating couriers
Mean Field Game Theory	Mean Field Game in Autonomous Lane-Free Traffic
Meta-learning	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
metastability	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Metro system	Structured Tensor RPCA: Anomaly Detection in Traffic Data
MFD	Combinatorial reconfiguration problem based on MFD for evacuation management under disasters
micro-meso multi-level model	Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network
Micro-mobility	Maximizing Safety in Cycling Networks through Optimal and Gradual Upgrading
Micro-Simulation Tools	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output.
Micromobility	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
Microscopic simulation	A machine learning meta-model for efficient quantification of intersection performance in large-scale urban road networks AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
Microscopic Traffic Simulation	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections? Calibrating Traffic Simulation Models with Limited Field Data: A Case Study on New Jersey Turnpike
Microsimulation	An algorithm to model a parking search considering multiple users in urban areas. Definition of strategies to optimize the platooning of connected automated vehicles on freeways
minimum delay	alpha-fair tradable credit schemes
Missing Data	[MFTS 6427] ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
Mixed autonomy network	Macroscopic Modeling and Optimization of Two-Region Mixed Autonomy Network with Park-and-Ride
mixed integer linear program	Emission based signal control optimization on arterials
mixed network design	Simulation-based network capacity allocation optimization for traffic resilience via enhanced mixed stochastic approximation
Mixed traffic	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections?
Mixed traffic flow	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions Dynamic Lane Configuration: Bridging Traffic Management and Infrastructure Design
Mixed-integer Programming	Ship routing in Particularly Sensitive Sea Areas
mobile phone data	Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France).
mobile sensing	An end-to-end predict-then-optimize method for on-demand vehicle relocation in mobile sensing
mobility choice	A large-scale survey for assessing the influence of modern mobility services and automated driving on the willingness to use park-and-ride
mobility demand	Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France).
Mobility efficiency	A Hierarchical Model for Ascending-Descending Multimodal Itinerary Formation
mobility-on-demand bus	Real-time Ride-matching and Vehicle Dispatching in a Flexible Mobility-on-demand Bus System
Modal hierarchy	A Hierarchical Model for Ascending-Descending Multimodal Itinerary Formation
Mode choice	The day-to-day mode choice analysis under Mobility-as-a-Service bundle subscription Congestion pricing in multimodal networks: an application of deep reinforcement learning Large Language Models for Travel Behavior Prediction
model identification	A perturbed utility model with semi-nonparametric perturbation function
Model Predictive Control	Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission Dedicated Gating Strategy for Multi-Variate Traffic Flow Streams
modular autonomous vehicles	Optimal design of on-demand feeder services with modular autonomous vehicles
modular bus	Potentialities of autonomous modular buses in branched lines with smart control strategies
Modular vehicles	[MFTS 5611] Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Monte Carlo Tree Search	A Top-to-Bottom Reposition Method for Ride-hailing Platforms
Motivation	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
Motorway infrastructure	Dynamic Lane Configuration: Bridging Traffic Management and Infrastructure Design
MOVES	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Moving Horizon Estimation	A UAV-Based Real-Time Traffic State Estimation System for Urban Road Networks
Multi-agent	[MFTS 6943] Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Multi-agent Reinforcement Learning	ENB-RL: Multi-Agent Reinforcement Learning with Explicit Neighbourhood Backtracking for Cooperative Traffic Signal Control Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
Multi-Agent Simulation	Developing a Personalised End-to-End Optimisation Algorithm for Smart Parking Systems
multi-agent system	Path-based Network Signal Coordination Control Optimization: Multi-agent System Modeling
Multi-agent systems	A Hybrid Framework of Traffic Simulation and Management for Large-scale Urban Air Mobility
multi-modal traffic	Augmented ε-Constraint-Based Optimization for Multi-Objective Multi-Modal Transport Networks Management
multi-modal transit	Scaling Urban Mobility Transformation: Ride-Sharing Meets Mass Transit
Multi-modal transportation system	[MFTS 5611] Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Multi-objective optimisation	Real-Time Multi-Depot Dial-a-Ride Problem Considering Traffic Dynamics and EV Fleet
multi-objective optimization	Augmented ε-Constraint-Based Optimization for Multi-Objective Multi-Modal Transport Networks Management
Multi-task learning	M2NN: Multi-task Multi-view Neural Network Using Congestion Heatmap Imagery for Incident Prediction on Road Segments
Multimodal itineraries	A Hierarchical Model for Ascending-Descending Multimodal Itinerary Formation
Multimodal networks	A Link-based Recursive Logit Model Integrating Path-Based Attributes in Multimodal Networks
Multimodal traffic control	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study
Multimodal traffic signal control	Multimodal Traffic Signal Control via Constrained Deep Reinforcement Learning
Multimodal transportation	Dynamic capacity planning for demand-responsive multimodal transit
multinomial logit	MobilityCoins -- Tradable credits and heterogeneous user groups: effects of allocation and charging schemes in large-scale networks
Multinomial logit model	An Outer-Inner Approximation Method for the Generic Choice-based Optimization Problem
N
network coordination signal control	Path-based Network Signal Coordination Control Optimization: Multi-agent System Modeling
Network design	Optimization of Subsidized Air Transport Networks using Electric Aircraft
Network Efficiency	A Spatial Data-Driven Approach for Evaluating Public Transport Efficiency: Evidence from Athens, Greece
Network macroscopic fundamental diagram	Macroscopic Modeling and Optimization of Two-Region Mixed Autonomy Network with Park-and-Ride
new town development	Investigating utility-based walking accessibility: equity across age groups and regions in Hong Kong
Non-traffic hour (NTH) maintenance window	Optimizing timetable schedules considering non-traffic hour maintenance window on urban rail transit systems
nonconvex optimization	Path-based Network Signal Coordination Control Optimization: Multi-agent System Modeling
nonlinear controller	Controlling Automated Vehicles on Lane-free Roundabouts via a Nonlinear Controller
nonlinear string stability	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Normalizing Flows	Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
O
OD matrices estimation	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
On-demand	On the potential of Idle wages to regulate the relationship between ride-hailing platforms and drivers
on-demand delivery	Optimising ghost kitchen location for on-demand delivery by a Markov model for circulating couriers
on-demand feeder	Optimal design of on-demand feeder services with modular autonomous vehicles
On-demand multi-modal pickup and delivery	Graph attention reinforcement learning for 3D multi-modal automated on-demand delivery system
On-demand transportation	Dynamic capacity planning for demand-responsive multimodal transit
On-street parking	An algorithm to model a parking search considering multiple users in urban areas.
one-way carsharing systems	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
online food delivery	A two-stage stochastic optimization model for sidewalk robot food delivery systems
Online operation	Online operation strategies for crowdsourced mobile charging service
Operating strategies	Ridesourcing markets with a bundled service option
Operational management	Matching and Reallocation Problem of Reserved Parking Considering Unpunctuality: A Two-Phase Approach
optimal design	Optimal design of on-demand feeder services with modular autonomous vehicles
Optimal Sharing Plan	[MFTS 9640]A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Optimal speed advisory	Integrating an actuated signal control policy with queue-based green light optimal speed advisory (Q-GLOSA) systems
optimisation	Enhancing Origin-Destination Matrix estimation using measurements from Unmanned Aerial Vehicles
Optimization	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities Congestion-aware optimization of school start times: A macroscopic approach Optimal Curbside Pricing and Space Allocation for Managing Multi-modal Travelers in Dynamic Networks Recyclables’ Collection Planning using Sensor-based Information for Bin Fill Levels: Methodology and Application Flow-Dependent Facility Location Optimization in Continuous Space for Bike-share Network Design Optimal design of on-demand feeder services with modular autonomous vehicles Shared Passenger-Freight Transport in Automated Bus Systems: Optimization Model and Solution
optimization layer	An end-to-end predict-then-optimize method for on-demand vehicle relocation in mobile sensing
Optimization-based control	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study
origin-destination demand	Enhancing Origin-Destination Matrix estimation using measurements from Unmanned Aerial Vehicles
origin-destination demand estimation	Enhancing dynamic origin-destination demand estimation with traffic densities captured from high-resolution satellite imagery
origin-destination matrix estimation	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
OriginDestination Demand Estimation	Calibrating Traffic Simulation Models with Limited Field Data: A Case Study on New Jersey Turnpike
Outer-inner approximation	An Outer-Inner Approximation Method for the Generic Choice-based Optimization Problem
oversaturated traffic conditions	Emission based signal control optimization on arterials
P
Parallel learning	Modeling lane changes using parallel learning
parcel delivery services	Piggyback on Idle Ride-Hailing Drivers for Integrated On-Demand and Flexible Parcel Delivery Services
park-and-ride	Macroscopic Modeling and Optimization of Two-Region Mixed Autonomy Network with Park-and-Ride A large-scale survey for assessing the influence of modern mobility services and automated driving on the willingness to use park-and-ride
parking	How Useful Can Parking Availability Information Be?
Parking dynamics	Macroscopic Modeling and Optimization of Two-Region Mixed Autonomy Network with Park-and-Ride
parking search	Theoretical insights into parking search to guide parking-related policies and smart-parking solutions
Partial Observability	Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
Particularly Sensitive Sea Areas	Ship routing in Particularly Sensitive Sea Areas
passenger boarding	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
passenger flow	A Novel Passenger Travel-time and Destination Distribution Model for Day-ahead Forecasting
passengers comfort	Estimating on-board crowding in complex public transport networks from incomplete automatic passenger counts
path demand	Enhancing Origin-Destination Matrix estimation using measurements from Unmanned Aerial Vehicles
Path-based attributes	A Link-based Recursive Logit Model Integrating Path-Based Attributes in Multimodal Networks
path-based delay modeling	Path-based Network Signal Coordination Control Optimization: Multi-agent System Modeling
PDE model	On numerical investigation of epidemics transport dynamics using a coupled PDE crowd flow - epidemics spreading dynamics model
Pedestrian behaviour	Spatial Differences in Pedestrian-AV Interactions in Future Urban Environments: A Large-Scale VR Study
pedestrian crossing	A generalised signal timing scheme at isolated intersections considering multi-modal pedestrian crossings
Pedestrian Demand Model	A Spatially Transferable Pedestrian Demand and Network Modeling (STePNet) Framework
pedestrian heterogeneity	Investigating utility-based walking accessibility: equity across age groups and regions in Hong Kong
Pedestrian modeling	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
Pedestrian Network Model	A Spatially Transferable Pedestrian Demand and Network Modeling (STePNet) Framework
Pedestrians	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study
perception delay	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Perimeter Control	Multi-region perimeter control in complex urban networks: A reinforcement learning approach Multi-scale model-free perimeter control and local signal control in urban networks Dedicated Gating Strategy for Multi-Variate Traffic Flow Streams
Personalised Parking Allocation	Developing a Personalised End-to-End Optimisation Algorithm for Smart Parking Systems
Personalization	Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective
Personalized pricing	Privacy-Preserving Personalized Pricing and Matching of Ride-Hailing Platforms
personalized utility functions	Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
perturbed utility model	A perturbed utility model with semi-nonparametric perturbation function
Physics-informed model	Modeling lane changes using parallel learning
Physics-informed neural network	Understanding Physics and AI Synergy in Car-following Models A Causal, Theory-Informed Framework for Traffic Flow Forecasting
pickup and delivery problem	A two-stage stochastic optimization model for sidewalk robot food delivery systems
platooning	Definition of strategies to optimize the platooning of connected automated vehicles on freeways
Population Dynamic Model	Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events
Population Synthesis	Novel framework to generate a synthetic population with diversities in transport modelling
Power failures	Joint Modelling and Robustness Analysis of Multimodal Transportation and Electricity Networks
Power peaks	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Pricing	Optimal Curbside Pricing and Space Allocation for Managing Multi-modal Travelers in Dynamic Networks
Pricing in Multi-modal Transportation Systems	Game-Theoretical Model of Pricing in Multi-Modal Transportation Systems with Public and Private Players
Priority-based optimization	Hierarchical Traffic Signal Coordination with Priority-based Optimization via Deep Reinforcement Learning
Privacy-preserving	Privacy-Preserving Personalized Pricing and Matching of Ride-Hailing Platforms
Probe data	Area-based mean speed estimation focusing on loop and sparse trajectory data
progress prediction	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
proportional fairness	alpha-fair tradable credit schemes
Psychological Factors	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
PTV Vissim	Signal-Free Intersections and Automated Vehicles | A Case Study in Heraklion, Crete, Greece
Public charging infrastructure	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
public transit	Optimal demand-responsive connector design: Comparing a fully-flexible routing strategy and a semi-flexible routing strategy
Public transport	Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles — Service Design, Simulation, and Analysis Joint Modelling and Robustness Analysis of Multimodal Transportation and Electricity Networks Estimating on-board crowding in complex public transport networks from incomplete automatic passenger counts Shared Passenger-Freight Transport in Automated Bus Systems: Optimization Model and Solution A Spatial Data-Driven Approach for Evaluating Public Transport Efficiency: Evidence from Athens, Greece
Public transport integration	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
public transport operation	AI-powered transit simulator: integration between microscopic simulation and machine learning to enhance scalability at reduced cost
Public transport prioritization	Optimization-Based Autonomous Intersection Management: A Real-World Simulation Study
Public transportation	Dynamic capacity planning for demand-responsive multimodal transit
Q
questionnaire	Evaluating user preferences and receptivity to shared autonomous vehicles in urban commuting scenarios
queue balancing	Multi-region perimeter control in complex urban networks: A reinforcement learning approach
Queue length estimation	Estimating Traffic Signal Settings and Queue Lengths Using Connected and Autonomous Vehicles Data Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Queue spillback	Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
R
railway	Improving rail infrastructure resilience in station areas through strategic infrastructural changes
railway capacity	Investigation of in-station coupling and decoupling effect on railway capacity using virtual coupling technique
Railway operations research	Train Delay Evolution Model Using Continuous Time Markov Processes
Railway simulation	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Railway traffic management	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Ramp metering	Ramp metering in lane-free vehicular traffic via variable speed limits
Random Forest	[MFTS] Predicting bus passenger OD matrices using trip chaining techniques and machine learning
Real time simulation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks.
real-time dispatching	Real-time Ride-matching and Vehicle Dispatching in a Flexible Mobility-on-demand Bus System
Real-time queue length estimation	Integrating an actuated signal control policy with queue-based green light optimal speed advisory (Q-GLOSA) systems
Real-time Traffic Incident Prediction	Uncertainty-aware framework for real-time traffic incident prediction
Real-world application	Hierarchical Traffic Signal Coordination with Priority-based Optimization via Deep Reinforcement Learning
Recursive Logit model	A Link-based Recursive Logit Model Integrating Path-Based Attributes in Multimodal Networks Combinatorial reconfiguration problem based on MFD for evacuation management under disasters
Recyclables’ collection planning	Recyclables’ Collection Planning using Sensor-based Information for Bin Fill Levels: Methodology and Application
Region-wise Impacts	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
reinforcement learning	Multi-region perimeter control in complex urban networks: A reinforcement learning approach Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling Congestion pricing in multimodal networks: an application of deep reinforcement learning A Top-to-Bottom Reposition Method for Ride-hailing Platforms Real-time Ride-matching and Vehicle Dispatching in a Flexible Mobility-on-demand Bus System Collaborating Without Compromising Privacy: Traffic Signal Control via Vertical Federated Reinforcement Learning Learning Eco-driving Strategies that Generalize Online operation strategies for crowdsourced mobile charging service Developing a Personalised End-to-End Optimisation Algorithm for Smart Parking Systems
Request-Vehicle Matching Algorithm	Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling
Reservation matching	Matching and Reallocation Problem of Reserved Parking Considering Unpunctuality: A Two-Phase Approach
reservoir model	A hybrid traffic flow model for large-scale federated networks
resilience	Improving rail infrastructure resilience in station areas through strategic infrastructural changes
Reverse Stackelberg Game	Learning-based Incentive Design for Eco-Driving Guidance
Ride-hailing	Privacy-Preserving Personalized Pricing and Matching of Ride-Hailing Platforms On the potential of Idle wages to regulate the relationship between ride-hailing platforms and drivers
ride-hailing systems	Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
ride-matching	Mitigating traffic congestion via ride-sharing: An optimal ride-matching scheme Real-time Ride-matching and Vehicle Dispatching in a Flexible Mobility-on-demand Bus System
Ride-matching App	Investigating Young People’s Preferences on Demand-Responsive Transportation and Ride-Matching Apps
Ride-Pooling	Learning augmented vehicle dispatching with slack times for high-capacity ride-pooling
Ride-sharing	Mitigating traffic congestion via ride-sharing: An optimal ride-matching scheme
Ride-sourcing markets	Ridesourcing markets with a bundled service option
ride-sourcing platform	Piggyback on Idle Ride-Hailing Drivers for Integrated On-Demand and Flexible Parcel Delivery Services
Rider fatigue	A Load-Dependent Heterogeneous Vehicle Routing Approach for Hybrid Electric Cargo Bicycles Considering Rider Fatigue
Risk Evaluation	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Risky driving behaviour	Feature importance estimation using clustering and classification for risky driving behaviour
Road marking detection	Vision-language Fusion for Road Marking Detection in Autonomous Driving
robust optimization	Data-Driven Robust Optimization for Traffic Signal Timing Based on Connected Vehicles: Modeling Variability and Errors
Robustness	Joint Modelling and Robustness Analysis of Multimodal Transportation and Electricity Networks
Rolling optimization	Matching and Reallocation Problem of Reserved Parking Considering Unpunctuality: A Two-Phase Approach
roundabout	Controlling Automated Vehicles on Lane-free Roundabouts via a Nonlinear Controller
Route choice	Estimation of Behavioral Asymmetry in Multi-Agent Interaction using Satellite Imagery
Route choice models	A Link-based Recursive Logit Model Integrating Path-Based Attributes in Multimodal Networks
Route guidance	A Hybrid Framework of Traffic Simulation and Management for Large-scale Urban Air Mobility
route network design	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
S
Safe Reinforcement Learning	[MFTS 5709] Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
safety net	Intermodal Safety Net for Urban Air Mobility
Safety Surrogate Measure	A stacked ensemble model for traffic conflict prediction in different road environments with multi-modal sensor data
Satellite image	Estimation of Behavioral Asymmetry in Multi-Agent Interaction using Satellite Imagery
satellite imagery	Enhancing dynamic origin-destination demand estimation with traffic densities captured from high-resolution satellite imagery
SAV system	Dynamic system optimal pricing for shared autonomous vehicles in congestible networks: Theoretical properties
scenario modeling	Learning Eco-driving Strategies that Generalize
Scenario-Based	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output.
School start time selection	Congestion-aware optimization of school start times: A macroscopic approach
Selection	Unjamming urban traffic: data-driven control and actuator selection strategies
semi-nonparametric	A perturbed utility model with semi-nonparametric perturbation function
semi-on-demand	Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles — Service Design, Simulation, and Analysis
sensing testbed	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Sensor data	Recyclables’ Collection Planning using Sensor-based Information for Bin Fill Levels: Methodology and Application
sensor feedback	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
Shared autonomous vehicles	Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles — Service Design, Simulation, and Analysis Evaluating user preferences and receptivity to shared autonomous vehicles in urban commuting scenarios [MFTS 5611] Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Shared Mobility	Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties [MFTS 1188] A Hierarchical Control Approach for Repositioning Ride-Hailing Vehicles
Sharing Points	[MFTS 9640]A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Ship Routing	Ship routing in Particularly Sensitive Sea Areas
shockwave theory	Distributed Adaptive Signal Control based on Shockwave Theory
Short-term demand forecasting	Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties
short-term forecasting	A Novel Passenger Travel-time and Destination Distribution Model for Day-ahead Forecasting
sidewalk delivery robots	A two-stage stochastic optimization model for sidewalk robot food delivery systems
signal timing	A generalised signal timing scheme at isolated intersections considering multi-modal pedestrian crossings
Signal Timing Optimization	Integrated Control of Internal Boundaries and Signal Timing at An Isolated Intersection for Lane-free Traffic of CAVs
signal-free intersection control	Efficient Real-Time CAV Trajectory Optimization at Signal-Free Intersections Using a Greedy-Based Heuristic Approach
Signalized intersection management	Priority Pass: Fair and Efficient Signalized Intersection Control
Signalized intersections	A Synergistic Approach to Real-Time Crash Risk Estimation at Signalized Intersections: Integrating Learning-Based Anomaly Detection with Extreme Value Theory
simulation	Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles — Service Design, Simulation, and Analysis Agent based modelling of blended wing body aircraft boarding strategies
Simulation and Modeling	Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events
simulation-based optimization	Simulation-based network capacity allocation optimization for traffic resilience via enhanced mixed stochastic approximation
Smart Card Data	[MFTS] Predicting bus passenger OD matrices using trip chaining techniques and machine learning
smart parking	Theoretical insights into parking search to guide parking-related policies and smart-parking solutions
smart predict-then-optimize	An end-to-end predict-then-optimize method for on-demand vehicle relocation in mobile sensing
Social interaction	Estimation of Behavioral Asymmetry in Multi-Agent Interaction using Satellite Imagery
Social media data	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
Soft modes	Maximizing Safety in Cycling Networks through Optimal and Gradual Upgrading
spatial and temporal flexibility	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
Spatial Data Analysis	A Spatial Data-Driven Approach for Evaluating Public Transport Efficiency: Evidence from Athens, Greece
Spatial heterogeneity	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
Spatial mean speed estimation	Area-based mean speed estimation focusing on loop and sparse trajectory data
Spatial Prediction	Using Machine Learning to Estimate Annual Average Daily Traffic by Vehicle Type on Local Roads with High-dimensional Geospatial Data
Spatial Transferability	A Spatially Transferable Pedestrian Demand and Network Modeling (STePNet) Framework
spatial-temporal modelling	Traffic accident prediction via three-dimensional convolution autoencoder and victim-party demographic data
Spatio-temporal dynamics	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
Spatio-Temporal Flexibility	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
Spatiotemporal (ST) features	Inland Waterway Freight Demand Forecasting with Spatio-temporal Dynamic Graph Attention-based Multi Attention Model
spatiotemporal congestion cluster
Spatiotemporal Convolution	Map-Matching is No Longer Needed: An End-to-End GPS-based Traffic Speed Prediction
Spatiotemporal Traffic Data	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner [MFTS 6427] ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
Spiking Neural Network	Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model
Stacked Ensemble Learning Model	A stacked ensemble model for traffic conflict prediction in different road environments with multi-modal sensor data
Stackelberg game	Mitigating traffic congestion via ride-sharing: An optimal ride-matching scheme
Stated Preference Survey	Investigating Young People’s Preferences on Demand-Responsive Transportation and Ride-Matching Apps
stochastic approximation	Simulation-based network capacity allocation optimization for traffic resilience via enhanced mixed stochastic approximation
stochastic demand	Optimal demand-responsive connector design: Comparing a fully-flexible routing strategy and a semi-flexible routing strategy
Stochastic Fundamental Diagram	Stochastic Fundamental Diagram: Calibration and Application
Stochastic optimization	Dynamic capacity planning for demand-responsive multimodal transit
stochastic processes	Theoretical insights into parking search to guide parking-related policies and smart-parking solutions Agent based modelling of blended wing body aircraft boarding strategies
stochastic programming	A two-stage stochastic optimization model for sidewalk robot food delivery systems
Stochastic user equilibrium	The day-to-day mode choice analysis under Mobility-as-a-Service bundle subscription
stop-and-go waves	Enabling stop-and-go wave analysis for massive trajectory data
strategies	Definition of strategies to optimize the platooning of connected automated vehicles on freeways
Subsidized services	Optimization of Subsidized Air Transport Networks using Electric Aircraft
Subway systems	A Novel Passenger Travel-time and Destination Distribution Model for Day-ahead Forecasting
Succesive Convexification	A UAV-Based Real-Time Traffic State Estimation System for Urban Road Networks
SUMO	Calibrating Traffic Simulation Models with Limited Field Data: A Case Study on New Jersey Turnpike
Surrogate modeling	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Survey	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output.
Sustainable Transportation	Learning-based Incentive Design for Eco-Driving Guidance
swarm intelligence	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Synthetic Population Generation	Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events
System of linear first-order differential equations	Train Delay Evolution Model Using Continuous Time Markov Processes
System optimum	Mitigating traffic congestion via ride-sharing: An optimal ride-matching scheme
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Tensor RPCA	Structured Tensor RPCA: Anomaly Detection in Traffic Data
Terminal Airspace	Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
tradable mobility credits	MobilityCoins -- Tradable credits and heterogeneous user groups: effects of allocation and charging schemes in large-scale networks
Traffic	Unjamming urban traffic: data-driven control and actuator selection strategies
traffic assignment	MobilityCoins -- Tradable credits and heterogeneous user groups: effects of allocation and charging schemes in large-scale networks
Traffic assignment problem	[MFTS 5611] Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Traffic behavior analysis	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
Traffic Congestion	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion Congestion-aware optimization of school start times: A macroscopic approach
Traffic control	Multi-region perimeter control in complex urban networks: A reinforcement learning approach Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission Signal-Free Intersections and Automated Vehicles | A Case Study in Heraklion, Crete, Greece
Traffic data learning	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
Traffic dynamics	Real-Time Multi-Depot Dial-a-Ride Problem Considering Traffic Dynamics and EV Fleet Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
traffic efficiency	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections? Definition of strategies to optimize the platooning of connected automated vehicles on freeways
Traffic Flow	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective Enabling stop-and-go wave analysis for massive trajectory data
traffic flow counts	A Multi-Phase Deep Learning Methodology for Short Term Traffic Flow Prediction
traffic flow dynamics	Enhancing Origin-Destination Matrix estimation using measurements from Unmanned Aerial Vehicles
Traffic Flow Prediction	A Federated Learning-Based Traffic Prediction Approach with Graph Spatial Information Aggregation Mechanism
Traffic flow theory	Impact of drivers' take-over manoeuvres on automated vehicles' traffic flow dynamics Hysteresis in Freeway Travel Time Variability
traffic forecasting	A Causal, Theory-Informed Framework for Traffic Flow Forecasting
Traffic incident prediction	M2NN: Multi-task Multi-view Neural Network Using Congestion Heatmap Imagery for Incident Prediction on Road Segments
traffic management	Augmented ε-Constraint-Based Optimization for Multi-Objective Multi-Modal Transport Networks Management Hysteresis in Freeway Travel Time Variability Dynamic Lane Configuration: Bridging Traffic Management and Infrastructure Design [MFTS 1188] A Hierarchical Control Approach for Repositioning Ride-Hailing Vehicles
traffic monitoring	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Traffic Network	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
traffic prediction	A Multi-Phase Deep Learning Methodology for Short Term Traffic Flow Prediction
traffic resilience	Simulation-based network capacity allocation optimization for traffic resilience via enhanced mixed stochastic approximation
traffic signal	Distributed Adaptive Signal Control based on Shockwave Theory
Traffic signal control	Multi-scale model-free perimeter control and local signal control in urban networks Collaborating Without Compromising Privacy: Traffic Signal Control via Vertical Federated Reinforcement Learning
Traffic signal coordination	Hierarchical Traffic Signal Coordination with Priority-based Optimization via Deep Reinforcement Learning
traffic simulation	Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network Modeling lane changes using parallel learning
Traffic speed prediction	Map-Matching is No Longer Needed: An End-to-End GPS-based Traffic Speed Prediction
Traffic state analysis	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
Traffic state dynamics	Dynamic Capacity Estimation for Link Selection in Macroscopic Fundamental Diagram (MFD) Modeling
Traffic state estimation	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations Estimating Traffic Signal Settings and Queue Lengths Using Connected and Autonomous Vehicles Data
Traffic state estimation and prediction	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Train control	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Train delay evolution	Train Delay Evolution Model Using Continuous Time Markov Processes
Train energy-efficient control	Exact numerical solution method for a train eco-driving problem
Train scheduling	Joint Planning of Passenger and Freight Trains in High-Speed Railway Express System Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Train timetable scheduling	Optimizing timetable schedules considering non-traffic hour maintenance window on urban rail transit systems
Trajectories	Map-Matching is No Longer Needed: An End-to-End GPS-based Traffic Speed Prediction
trajectory data	Enabling stop-and-go wave analysis for massive trajectory data Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
trajectory planning	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning Deep-reinforcement-learning-based Control of Saturated Traffic at Lane-drop Freeway Bottlenecks via Longitudinal and Lateral Trajectory Planning for Limited Connected Vehicles
Trajectory Prediction	Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
Transfer Entropy	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
Transformer	[MFTS 6943] Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Transformers	Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers [MFTS 6427] ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
transit services	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Transport Demand	Activity Chain Generation with Dynamic object-oriented Bayesian Networks
Transport economics and policy	Game-Theoretical Model of Pricing in Multi-Modal Transportation Systems with Public and Private Players
transport mode detection	A deep learning-based approach to recognize passengers' transport mode and trip phases
Transport Modelling	Novel framework to generate a synthetic population with diversities in transport modelling
transportation	Scaling Urban Mobility Transformation: Ride-Sharing Meets Mass Transit NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
transportation network	Piggyback on Idle Ride-Hailing Drivers for Integrated On-Demand and Flexible Parcel Delivery Services
transportation planning	Ensemble-Based Fractional Split Multinomial Logit Model: An Application to Work Commute Mode Shares for Localized Transportation Planning [MFTS] Predicting bus passenger OD matrices using trip chaining techniques and machine learning
Transportation system performance	ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control
transportation technology acceptance	Evaluating user preferences and receptivity to shared autonomous vehicles in urban commuting scenarios
Transshipment	[MFTS 9640]A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Travel behavior prediction	Large Language Models for Travel Behavior Prediction
Travel behaviour interpretation	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
travel demand	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks.
travel survey	A large-scale survey for assessing the influence of modern mobility services and automated driving on the willingness to use park-and-ride
travel time distribution	A Novel Passenger Travel-time and Destination Distribution Model for Day-ahead Forecasting
Travel Times	A Spatial Data-Driven Approach for Evaluating Public Transport Efficiency: Evidence from Athens, Greece
Traveler heterogeneity	[MFTS 5611] Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Trip Chaining	[MFTS] Predicting bus passenger OD matrices using trip chaining techniques and machine learning
trip phase recognition	A deep learning-based approach to recognize passengers' transport mode and trip phases
Trip purpose	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation Large Language Models for Travel Behavior Prediction
Trip-based MFD	Congestion pricing in multimodal networks: an application of deep reinforcement learning
Truck platooning manager	Level-1 truck platooning optimisation: methodology and network-wide
Truck platooning optimisation model	Level-1 truck platooning optimisation: methodology and network-wide
Truck-Drones	Formulation of the Parallel Scheduling Vehicle Routing Problem
Trust	Can we trust Microscopic Traffic Simulation Tools for Automated Vehicles Evaluation? A Scenario-Based Survey to Assess Confidence Levels of Simulation Tools Output.
two-sided market	Dynamic system optimal pricing for shared autonomous vehicles in congestible networks: Theoretical properties
U
UAV trajectory planning	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
Uber	On the potential of Idle wages to regulate the relationship between ride-hailing platforms and drivers
Uncertainty Estimation	Uncertainty-aware framework for real-time traffic incident prediction
uncertainty propagation	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
uncertainty quantification	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
unknow	[MFTS 1203] A Tradable Equity Credit(TEC) Scheme for Public Transit Services: Computational Graph-Based Frameworkfor Equitable Mobility Management and Dynamic Pricing
unknow2	[MFTS 1203] A Tradable Equity Credit(TEC) Scheme for Public Transit Services: Computational Graph-Based Frameworkfor Equitable Mobility Management and Dynamic Pricing
unknow3	[MFTS 1203] A Tradable Equity Credit(TEC) Scheme for Public Transit Services: Computational Graph-Based Frameworkfor Equitable Mobility Management and Dynamic Pricing
unmanned traffic management	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
Unpunctuality	Matching and Reallocation Problem of Reserved Parking Considering Unpunctuality: A Two-Phase Approach
Unsignalized Intersections	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Urban air mobility	Intermodal Safety Net for Urban Air Mobility A Hybrid Framework of Traffic Simulation and Management for Large-scale Urban Air Mobility Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
Urban Mobility	A Spatial Data-Driven Approach for Evaluating Public Transport Efficiency: Evidence from Athens, Greece
urban mobility dynamics	[MFTS 6173] Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
urban rail transit	URBAN RAIL TRANSIT AND GREEN URBANISATION
Urban rail transit systems	Optimizing timetable schedules considering non-traffic hour maintenance window on urban rail transit systems
Urban space	An algorithm to model a parking search considering multiple users in urban areas.
urban traffic	Theoretical insights into parking search to guide parking-related policies and smart-parking solutions
Urban Traffic Modelling	A UAV-Based Real-Time Traffic State Estimation System for Urban Road Networks
urban traffic simulation	Multi-level Traffic Simulation with Dynamic Simulation Level Assignment for Urban Network
User equilibrium	Mitigating traffic congestion via ride-sharing: An optimal ride-matching scheme
user preferences	Evaluating user preferences and receptivity to shared autonomous vehicles in urban commuting scenarios
user-based relocation	An Optimization Framework for One-way Carsharing Systems with User Acceptance Probabilities
utility-based walking accessibility	Investigating utility-based walking accessibility: equity across age groups and regions in Hong Kong
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V2G integration	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
Vaccine Distribution	A Machine Learning-Enhanced Column Generation for Vaccine Distribution
Value function approximation	Dynamic confirmation, compensation and routing for combined transportation of passengers and parcels
value of information	How Useful Can Parking Availability Information Be?
Value of Time (VOT)	Priority Pass: Fair and Efficient Signalized Intersection Control
Variable Contribution	A stacked ensemble model for traffic conflict prediction in different road environments with multi-modal sensor data
Variable speed limit	Ramp metering in lane-free vehicular traffic via variable speed limits
vehicle emission models	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
vehicle relocation	An end-to-end predict-then-optimize method for on-demand vehicle relocation in mobile sensing
vehicle reposition	A Top-to-Bottom Reposition Method for Ride-hailing Platforms
Vehicle Repositioning	[MFTS 1188] A Hierarchical Control Approach for Repositioning Ride-Hailing Vehicles
vehicle routing	How Useful Can Parking Availability Information Be?
Vehicle Routing Problem with Pick-up and Delivery (VRPPD)	Heuristic Approach for Solving Demand Responsive Transport Scheduling Problems
Vehicle Trajectories	Stochastic Fundamental Diagram: Calibration and Application
Vertical federated learning	Collaborating Without Compromising Privacy: Traffic Signal Control via Vertical Federated Reinforcement Learning
Video-ChatGPT	Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges
Video-LLM	Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges
Virtual coupling	Investigation of in-station coupling and decoupling effect on railway capacity using virtual coupling technique
Virtual reality	Spatial Differences in Pedestrian-AV Interactions in Future Urban Environments: A Large-Scale VR Study Modelling riders’ intervention behavior during high-level autonomous driving under extreme conditions: Insights from a VR-enabled simulation study
Vision language models	Vision-language Fusion for Road Marking Detection in Autonomous Driving
Vulnerability	Joint Modelling and Robustness Analysis of Multimodal Transportation and Electricity Networks
Vulnerable Road Users	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
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walking accessibility inequity	Investigating utility-based walking accessibility: equity across age groups and regions in Hong Kong

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