MFTS 2024: THE 5TH SYMPOSIUM ON MANAGEMENT OF FUTURE MOTORWAY AND URBAN TRAFFIC SYSTEMS, HERAKLION, CRETE, GREECE

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

3
3D Object Detection	Investigating Floating Car Observers for Traffic State Estimation through Co-Simulation
A
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-based modelling	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities
Adjacency matrix	Comparison of adjacency matrix construction methods for graph learning based traffic-flow prediction
Adverse weather	The Effectiveness of Large Language Models for Textual Analysis in Air Transportation
AI control-oriented traffic model	A PHYSICS-INFORMED MULTI-CLASS LSTM MODEL FOR TRAFFIC STATE ESTIMATION
Air Mobility	Speed Control for Air Mobility Systems
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
Amazon research challenge	Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic
Analytical model	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
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
Automated vehicles	A Constrained Differential Dynamic Programming Algorithm for Automated Vehicles in Lane-Free Traffic How to Design an Automated Vehicle Lane-Changing Decision Model for Traffic Flow Benefit 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
Autonomous Delivery Vehicles	Formulation of the Parallel Scheduling Vehicle Routing Problem
Autonomous Driving	LLM-TP: Enhancing Trajectory Prediction for Autonomous Driving with LLMs and Chain-of-Thought Prompting Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Autonomous electric vehicles	Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations
Autonomous vehicle	A simulation model of system optimal motion planning for AVs in shared spaces
Autonomous vehicles	Investigating the Impacts of Prudent Lane-changing Behavior of Autonomous Vehicles on Traffic Efficiency and Safety A Distributed Intersection Control Algorithm with Autonomous Vehicles
B
Baseline-and-Credits	A Tradable Equity Credit (TEC) Scheme for Public Transit Services: Computational Graph-Based Framework for Equitable Mobility Management and Dynamic Pricing
Bayesian inference	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Bayesian networks	Growth Prediction of Spatio-temporal Congestion Cluster in Metropolitan
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?
bi-level adjustment	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks
Bilinear program	Exact numerical solution method for a train eco-driving problem
Bottleneck	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
C
Calibration	Incorporating human factors in car-following models: a model credibility assessment framework
car following	Microscopic modelling of E-Scooters: calibration through monitored trajectories
car-following	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Car-following models	Incorporating human factors in car-following models: a model credibility assessment framework Understanding Physics and AI Synergy in Car-following Models
Causal Inference	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
CAV	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES
CAV Platoon	Examining Emergency Braking in Connected Autonomous Vehicle Platooning: Collision Risk and Severity Analysis
Chain-of-Thoughts Prompting	LLM-TP: Enhancing Trajectory Prediction for Autonomous Driving with LLMs and Chain-of-Thought Prompting
charging demand	Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities
charging management	Congestion-aware charging management for electric ride-hailing systems with time-dependent energy prices
Charging service for Electric vehicles	Dynamic Operations of a Mobile Charging Crowdsourcing Platform
Charging Station Recommendation	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
Circulation	The incidence of management systems for a comprehensive balance of GHG emissions from motorway transport
closed-loop online updating strategy	Network-level Adaptive Signal Control Optimization Under A Closed-loop Online Updating Framework
Co-Simulation	Investigating Floating Car Observers for Traffic State Estimation through Co-Simulation
Cognitive state	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Collaborative logistics	A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Collabrative passenger-parcel transport	Solving a collaborative passenger-parcel transport problem: A deep reinforcement learning based approach
Complex System	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
Computational graph	A Tradable Equity Credit (TEC) Scheme for Public Transit Services: Computational Graph-Based Framework for Equitable Mobility Management and Dynamic Pricing
concept of operations	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
conditional generative adversarial imitation learning	Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
congestion growth prediction	Growth Prediction of Spatio-temporal Congestion Cluster in Metropolitan
Connected and Automated Vehicles	Evaluation and Validation of Microscopic Models for CAVs in Lane-Free Roundabouts Optimization-based Urban Network Traffic Management with Mixed Autonomy Incorporating Dynamic Saturation Rates
Connected and Automated Vehicles (CAVs)	More Space for Vulnerable Road Users with Autonomous Intersection Management
Connected and autonomous vehicles	Optimal Dedicated Lane Planning for Mixed Traffic on Highways
Connected Autonomous Vehicles	Using Connected and Automated Vehicles as Mobile Controllers in Single Lane Roundabouts
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
Connected Vehicles	Investigating Floating Car Observers for Traffic State Estimation through Co-Simulation
Constrained Markov Decision Process	Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power 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
Convex relaxation	Exact numerical solution method for a train eco-driving problem
cooperative freeway control	Coordinated Control for Lane-free Traffic of Connected Automated Vehicles on Freeways: Internal Boundary Control, Ramp Metering and Variable Speed Limit Control
coordinated control systems
coordination	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
COPERT V	Sustainable Freight Distribution Travel Demand Assessment – Empirical Agent-Based Spatial Infrastructure Modelling Methodology
Coupled Transportation-Power Systems	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
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	A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Crowdsourced mobile charging	Dynamic Operations of a Mobile Charging Crowdsourcing Platform
cycle-based adaptive network signal control	Network-level Adaptive Signal Control Optimization Under A Closed-loop Online Updating Framework
D
Data Imputation	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-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
datasets	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES
Decision-making	Vision-language Fusion for Road Marking Detection in Autonomous Driving
Decisions during abrupt events	Traffic Dynamics in the Presence of Abrupt or Planned Events
Dedicated bus lane	A bus lanes sharing strategy closing to signalized intersections under the warrant of bus priority: A stochastic queueing-based approach
Dedicated lanes	Optimal Dedicated Lane Planning for Mixed Traffic on Highways
Deep Generative Modelling	Activity Scheduling with Deep Generative Models
deep learning	Comparison of adjacency matrix construction methods for graph learning based traffic-flow prediction Activity Scheduling with Deep Generative Models Traffic accident prediction via three-dimensional convolution autoencoder and victim-party demographic data NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Deep reinforcement learning	Integrating feedback control with reinforcement learning for lane-adaptive variable speed limits Solving a collaborative passenger-parcel transport problem: A deep reinforcement learning based approach Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
delay minimization	Network-level Adaptive Signal Control Optimization Under A Closed-loop Online Updating Framework
Demand Management	Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems
Demand prediction	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
demand-responsive mobility
Dial-a-ride problem	Real-time multi-depot dial-a-ride problem considering traffic dynamics and EV fleet
Differential Dynamic Programming (DDP)	A Constrained Differential Dynamic Programming Algorithm for Automated Vehicles in Lane-Free Traffic
Differential Game	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
discrete choice
Discrete choice modelling	Traffic Dynamics in the Presence of Abrupt or Planned Events
Disruption propagation	Quantifying the spatio-temporal propagation of disruptions through urban mass transit networks
Distributed intersection control	A Distributed Intersection Control Algorithm with Autonomous Vehicles
Driver and traveler support systems	Needs-Based Signalized Intersection Management: Priority Pass
driver behavior
Driver experience	Needs-Based Signalized Intersection Management: Priority Pass
drone delivery	Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
Drone-based data collection	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
drones	Formulation of the Parallel Scheduling Vehicle Routing Problem Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Dynamic attention mode	Solving a collaborative passenger-parcel transport problem: A deep reinforcement learning based approach
Dynamic charging	Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations
Dynamic lane allocation	Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor
Dynamic OD estimation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks
Dynamic routing	Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Dynamic Tolling	Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems
Dynamic topic modeling	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
E
E-hailing
e-scooter	Microscopic modelling of E-Scooters: calibration through monitored trajectories
Electric Vehicle	Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems Congestion-aware charging management for electric ride-hailing systems with time-dependent energy prices
Electric vehicles	A Linear Model of Electric Vehicles Energy Demand in Urban Areas: Validation Case Study Using an Agent-Based Electromobility Simulator Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities Real-time multi-depot dial-a-ride problem considering traffic dynamics and EV fleet A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
Electromobility networks	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
Emergency situation	Examining Emergency Braking in Connected Autonomous Vehicle Platooning: Collision Risk and Severity Analysis
Emissions reduction	Innovative Interventions for Transforming Road Capacity, Safety and Emissions on the England’s Strategic Road Network
Energy demand	A Linear Model of Electric Vehicles Energy Demand in Urban Areas: Validation Case Study Using an Agent-Based Electromobility Simulator
energy minimization	A simulation model of system optimal motion planning for AVs in shared spaces
ensemble learning
Epidemics transport	On numerical investigation of epidemics transport dynamics using a coupled PDE crowd flow - epidemics spreading dynamics model
error modeling	Data-Driven Robust Optimization for Traffic Signal Timing Based on Connected Vehicles: Modeling Variability and Errors
Evaluation framework	Innovative Interventions for Transforming Road Capacity, Safety and Emissions on the England’s Strategic Road Network
EVs Models	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
Experimental case study	An Experimental Study on Max-Pressure Traffic Controller based on Delays
Explainable AI (XAI)	Uncertainty-aware framework for real-time traffic incident prediction
explainable machine learning
Eye-tracking	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
F
Fairness	Needs-Based Signalized Intersection Management: Priority Pass
Floating Car Data	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
Flow model	Comparison of adjacency matrix construction methods for graph learning based traffic-flow prediction
Fractal theory	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
freeway traffic	Enabling stop-and-go wave analysis for massive trajectory data
Freeway traffic control	Integrating feedback control with reinforcement learning for lane-adaptive variable speed limits
Freight Demand Modelling	Sustainable Freight Distribution Travel Demand Assessment – Empirical Agent-Based Spatial Infrastructure Modelling Methodology
Future mobility systems	Formulation of the Parallel Scheduling Vehicle Routing Problem A Distributed Intersection Control Algorithm with Autonomous Vehicles
Fuzzy system	How to Design an Automated Vehicle Lane-Changing Decision Model for Traffic Flow Benefit
Fuzzy Systems	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
G
Gap Acceptance	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections?
Gaussian process model	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
Gaussian processes	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Gazis-Herman-Rothery	Microscopic modelling of E-Scooters: calibration through monitored trajectories
Generalized error bounds	Understanding Physics and AI Synergy in Car-following Models
Graph Neural Network	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
Graph neural networks	Comparison of adjacency matrix construction methods for graph learning based traffic-flow prediction Quantifying the spatio-temporal propagation of disruptions through urban mass transit networks
Greenhouse gas emissions	The incidence of management systems for a comprehensive balance of GHG emissions from motorway transport
group effect enrichment	Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
H
Hankel tensor	Structured Tensor RPCA: Anomaly Detection in Traffic Data
HDV	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES
Heterogeneity	Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective
Hidden Markov	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
Human factors	Incorporating human factors in car-following models: a model credibility assessment framework
Human-like AV	How to Design an Automated Vehicle Lane-Changing Decision Model for Traffic Flow Benefit
I
I-24 Motion	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
Impact speed	Examining Emergency Braking in Connected Autonomous Vehicle Platooning: Collision Risk and Severity Analysis
Implicit neural representations	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
in-station coupling model
in-station decoupling model
Incentive scheme	Balancing congestion and emissions in urban networks via path-based incentives
individual behavior learning	Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
Inequality metrics	A Tradable Equity Credit (TEC) Scheme for Public Transit Services: Computational Graph-Based Framework for Equitable Mobility Management and Dynamic Pricing
Infrastructure-enabled defense	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Intelligent transportation systems	A Sequential Decision-Making Model for Perimeter Identification
Interactions	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Intermodal Trips
internal boundary control	Coordinated Control for Lane-free Traffic of Connected Automated Vehicles on Freeways: Internal Boundary Control, Ramp Metering and Variable Speed Limit Control
Intersection layout	More Space for Vulnerable Road Users with Autonomous Intersection Management
Interventions	Innovative Interventions for Transforming Road Capacity, Safety and Emissions on the England’s Strategic Road Network
J
joint spectrum	Multimodal Traffic Network Division under Disturbances Using A Joint Spectral Approach
journey-to-work mode share
K
keyframe interpolation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks
KPZ Universality Class	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
L
LAAT systems	Speed Control for Air Mobility Systems
Lagrangian Method	Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
lane changing behavior	Investigating the Impacts of Prudent Lane-changing Behavior of Autonomous Vehicles on Traffic Efficiency and Safety
Lane-changing	How to Design an Automated Vehicle Lane-Changing Decision Model for Traffic Flow Benefit
Lane-changing behavior	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
lane-free traffic	A Constrained Differential Dynamic Programming Algorithm for Automated Vehicles in Lane-Free Traffic Evaluation and Validation of Microscopic Models for CAVs in Lane-Free Roundabouts
lane-free traffic of CAVs on freeways	Coordinated Control for Lane-free Traffic of Connected Automated Vehicles on Freeways: Internal Boundary Control, Ramp Metering and Variable Speed Limit Control
Large Language Model	LLM-TP: Enhancing Trajectory Prediction for Autonomous Driving with LLMs and Chain-of-Thought Prompting Leveraging Video-LLMs for Crash Detection and Narrative Generation: Performance Analysis and Challenges
Large language models	The Effectiveness of Large Language Models for Textual Analysis in Air Transportation ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control Vision-language Fusion for Road Marking Detection in Autonomous Driving
Large Neighborhood Search	Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor
Last-mile delivery	Solving a collaborative passenger-parcel transport problem: A deep reinforcement learning based approach Formulation of the Parallel Scheduling Vehicle Routing Problem Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic
Learning	Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective
LightGBM	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Linear optimization	A Linear Model of Electric Vehicles Energy Demand in Urban Areas: Validation Case Study Using an Agent-Based Electromobility Simulator
Link transmission model	Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
Local correction factor	Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor
Local search	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
Location-Based Service Data	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
Long Short-Term Memory	Traffic Queue Length Estimation and Prediction in Signalized Intersection using Sparse Vehicle Trajectory
longitudinal trajectory data	Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
Low-Rank Modeling	ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
M
Machine learning	Detecting and Modelling the Interactions of Road Users in Shared Spaces Generating Practical Last-mile Delivery Routes using a Data-informed Insertion Heuristic Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
macroscopic	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES
Macroscopic Fundamental Diagram	Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor
Macroscopic Fundamental Diagram (MFD)
macroscopic modelling	Macroscopic Modeling of Route-Based Network Traffic Flow with Robust Second-Order Phase Transition Model and Predictive Optimization at Junctions
Makespan	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Management system	The incidence of management systems for a comprehensive balance of GHG emissions from motorway transport
Map Matching	Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach
Markov chain	Exploring Eye Movement Patterns and Driver Cognitive State in Partially Autonomous Driving Simulation
Markov chain and Monte Carlo simulation	Growth Prediction of Spatio-temporal Congestion Cluster in Metropolitan
Markov chain Monte Carlo	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Markov decision process	A Sequential Decision-Making Model for Perimeter Identification
matrix factorization	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Max-Pressure control	An Experimental Study on Max-Pressure Traffic Controller based on Delays
mesoscopic	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES
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
Micromobility	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
microscopic modeling	Evaluation and Validation of Microscopic Models for CAVs in Lane-Free Roundabouts
microscopic traffic modelling	Investigating the Impacts of Prudent Lane-changing Behavior of Autonomous Vehicles on Traffic Efficiency and Safety
Microscopic Traffic Simulation	Does Behavioral Adaptation of Human Drivers Affect Traffic Efficiency of Mixed Traffic on Priority T-Intersections?
Missing Data	ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
missing ramp flow	A Physics-informed Deep Learning Framework for Traffic State Estimation on Multi-ramp Freeways
Mixed traffic	Optimal Dedicated Lane Planning for Mixed Traffic on Highways Optimization-based Urban Network Traffic Management with Mixed Autonomy Incorporating Dynamic Saturation Rates 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
Mobile charging pods	Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations
Mobile Traffic Controller	Using Connected and Automated Vehicles as Mobile Controllers in Single Lane Roundabouts
model identification
model predictive control	Network-level Adaptive Signal Control Optimization Under A Closed-loop Online Updating Framework Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
Modular autonomous vehicles	Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Monte Carlo Tree Search
Motivation	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
Motorway	The incidence of management systems for a comprehensive balance of GHG emissions from motorway transport
MOVES	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Multi-agent	Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
multi-class traffic model	A PHYSICS-INFORMED MULTI-CLASS LSTM MODEL FOR TRAFFIC STATE ESTIMATION
Multi-Commodity Traffic	Optimization-based Urban Network Traffic Management with Mixed Autonomy Incorporating Dynamic Saturation Rates
multi-modal transit
Multi-objective optimisation	Real-time multi-depot dial-a-ride problem considering traffic dynamics and EV fleet
Multimodal networks
multimodal traffic management	Multimodal Traffic Network Division under Disturbances Using A Joint Spectral Approach
Multimodal transportation	Dynamic capacity planning for demand-responsive multimodal transit
Multimodal transportation system	Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Multinomial logit model	An Outer-Inner Approximation Method for the Generic Choice-based Optimization Problem
N
network division	Multimodal Traffic Network Division under Disturbances Using A Joint Spectral Approach
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 transportation	Dynamic capacity planning for demand-responsive multimodal transit
Optimal operation strategies	Dynamic Operations of a Mobile Charging Crowdsourcing Platform
Optimal Sharing Plan	A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
optimisation	Macroscopic Modeling of Route-Based Network Traffic Flow with Robust Second-Order Phase Transition Model and Predictive Optimization at Junctions
optimization	Congestion-aware charging management for electric ride-hailing systems with time-dependent energy prices Simultaneous Scheduling of Electric Vehicle Charging and Daily Activities
origin-destination matrix estimation	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Outer-inner approximation	An Outer-Inner Approximation Method for the Generic Choice-based Optimization Problem
P
passenger boarding	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
Path planning	A Constrained Differential Dynamic Programming Algorithm for Automated Vehicles in Lane-Free Traffic A simulation model of system optimal motion planning for AVs in shared spaces
Path-based attributes
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 modeling	Dynamic Motivation: Integrating Psychological Theories of Motivation in Pedestrian Modeling for Bottleneck Scenarios
perception delay	Nonlinear string stability analysis of car-following models: metastability thresholds and rear-end collisions
Perimeter identification	A Sequential Decision-Making Model for Perimeter Identification
Personalization	Towards Personalized Learning for Traffic Agents in the Driving Environment: Methodological Perspective
personalized utility functions
perturbed utility model
phase transition	Macroscopic Modeling of Route-Based Network Traffic Flow with Robust Second-Order Phase Transition Model and Predictive Optimization at Junctions
physics-informed deep learning	A Physics-informed Deep Learning Framework for Traffic State Estimation on Multi-ramp Freeways
physics-informed machine learning model	A PHYSICS-INFORMED MULTI-CLASS LSTM MODEL FOR TRAFFIC STATE ESTIMATION
Physics-informed neural network	Understanding Physics and AI Synergy in Car-following Models
Population Dynamic Model	Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events
Power Consumption	Sustainable Freight Distribution Travel Demand Assessment – Empirical Agent-Based Spatial Infrastructure Modelling Methodology
Power peaks	A Simulation-based Local Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks
progress prediction	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
Psychological Factors	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
Public charging infrastructure	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
Public transport	Quantifying the spatio-temporal propagation of disruptions through urban mass transit networks
Public transport integration	Multi-Channel Spatio-Temporal Graph Neural Network for bike demand prediction : considering public transport and weather
Public transportation	Dynamic capacity planning for demand-responsive multimodal transit
Q
Queue length	A bus lanes sharing strategy closing to signalized intersections under the warrant of bus priority: A stochastic queueing-based approach
queue length estimation	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
Queue length estimation and forecasting	Traffic Queue Length Estimation and Prediction in Signalized Intersection using Sparse Vehicle Trajectory
Queue spillback	Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
R
railway capacity
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	Coordinated Control for Lane-free Traffic of Connected Automated Vehicles on Freeways: Internal Boundary Control, Ramp Metering and Variable Speed Limit Control
Random Forest
Real time simulation	KFI: A novel keyframe interpolation methodology for improving the efficiency of dynamic OD estimation on large urban networks
Real-time Traffic Incident Prediction	Uncertainty-aware framework for real-time traffic incident prediction
Recursive logit model
Region-wise Impacts	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
Reinforcement	Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems
reinforcement learning	A Sequential Decision-Making Model for Perimeter Identification
Resilience	Quantifying the spatio-temporal propagation of disruptions through urban mass transit networks
Ride sharing	Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor
ride-hailing	Congestion-aware charging management for electric ride-hailing systems with time-dependent energy prices
ride-hailing systems
Ride-matching
Ride-sharing
Risk Evaluation	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Road capacity	Innovative Interventions for Transforming Road Capacity, Safety and Emissions on the England’s Strategic Road Network
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
Roudnabout	Using Connected and Automated Vehicles as Mobile Controllers in Single Lane Roundabouts
roundabout	Evaluation and Validation of Microscopic Models for CAVs in Lane-Free Roundabouts
Route choice models
route network design	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
S
Safe Reinforcement Learning	Online Prediction-Assisted Safe Reinforcement Learning for Electric Vehicle Charging Station Recommendation in Dynamically Coupled Transportation-Power Systems
Safety	Innovative Interventions for Transforming Road Capacity, Safety and Emissions on the England’s Strategic Road Network Examining Emergency Braking in Connected Autonomous Vehicle Platooning: Collision Risk and Severity Analysis
Safety-critical driving	Incorporating human factors in car-following models: a model credibility assessment framework
semi-nonparametric
sensing testbed	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
sensitivity analysis	Investigating the Impacts of Prudent Lane-changing Behavior of Autonomous Vehicles on Traffic Efficiency and Safety
sensor feedback	Emerging from the dark cabin age: sensor-based prediction of passenger boarding times
SHAP values	Detecting and Modelling the Interactions of Road Users in Shared Spaces
shared mobility	Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties
Shared Space	Detecting and Modelling the Interactions of Road Users in Shared Spaces
sharing points	A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
Shock wave theory	Traffic Queue Length Estimation and Prediction in Signalized Intersection using Sparse Vehicle Trajectory
Short-term demand forecasting	Short-term bike-sharing demand forecasting incorporating multiple sources of uncertainties
Signal control	A bus lanes sharing strategy closing to signalized intersections under the warrant of bus priority: A stochastic queueing-based approach
Signalized intersection	Traffic Queue Length Estimation and Prediction in Signalized Intersection using Sparse Vehicle Trajectory
Signalized intersection management	Needs-Based Signalized Intersection Management: Priority Pass
simulation	A simulation model of system optimal motion planning for AVs in shared spaces
Simulation and Modeling	Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events
Smart Card Data
social force model	Microscopic modelling of E-Scooters: calibration through monitored trajectories
Social media data	Psychological Factors in Travel Behaviour Interpretation with Social Media Data
Spatial heterogeneity	A Continuum Approximation Approach for Electric Vehicle Public Charging Infrastructure Planning
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 congestion cluster	Growth Prediction of Spatio-temporal Congestion Cluster in Metropolitan
Spatiotemporal traffic data	ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
Stackelberg game
Stochastic optimization	Dynamic capacity planning for demand-responsive multimodal transit
Stochastic queueing model	A bus lanes sharing strategy closing to signalized intersections under the warrant of bus priority: A stochastic queueing-based approach
stop-and-go waves	Enabling stop-and-go wave analysis for massive trajectory data
Store-and-Forward Modelling	Optimization-based Urban Network Traffic Management with Mixed Autonomy Incorporating Dynamic Saturation Rates
Surrogate modeling	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
swarm intelligence	Sensing Testbed: Decentralized Drone Coordination with Swarm Intelligence and Collision Avoidance
Switch to Public Transport	Traffic Dynamics in the Presence of Abrupt or Planned Events
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	Balancing congestion and emissions in urban networks via path-based incentives
T
Tensor RPCA	Structured Tensor RPCA: Anomaly Detection in Traffic Data
Terminal Airspace	Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
time-of-use energy prices	Congestion-aware charging management for electric ride-hailing systems with time-dependent energy prices
tracking	Microscopic modelling of E-Scooters: calibration through monitored trajectories
Tradable Credit System	Reinforcement Learning for Dynamic Tolling in Tradable Credit Systems
Tradable Equity Credits	A Tradable Equity Credit (TEC) Scheme for Public Transit Services: Computational Graph-Based Framework for Equitable Mobility Management and Dynamic Pricing
Traffic assignment	Balancing congestion and emissions in urban networks via path-based incentives 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 capacity	Optimal Dedicated Lane Planning for Mixed Traffic on Highways
Traffic Congestion	Empirical Verification that Traffic Flow is on the KPZ Universality Class: Implications for Traffic Congestion
Traffic Control	Speed Control for Air Mobility Systems Bi-level Model Predictive Control of Network-Wide Signal Timing Using Link Transmission Model with Queue Transmission
Traffic data learning	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
Traffic demand management	A bus lanes sharing strategy closing to signalized intersections under the warrant of bus priority: A stochastic queueing-based approach
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?
Traffic Flow	How to Design an Automated Vehicle Lane-Changing Decision Model for Traffic Flow Benefit 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 model	A HYBRID TRAFFIC FLOW MODEL FOR MIXED TRAFFIC FLOW CONSIDERING CONNECTED AUTOMATED VEHICLES AND HUMAN-DRIVEN VEHICLES A Physics-informed Deep Learning Framework for Traffic State Estimation on Multi-ramp Freeways
traffic management	Balancing congestion and emissions in urban networks via path-based incentives
Traffic management and coordinated control systems	Needs-Based Signalized Intersection Management: Priority Pass
Traffic Management Strategies	Traffic Dynamics in the Presence of Abrupt or Planned Events
Traffic modelling	Detecting and Modelling the Interactions of Road Users in Shared Spaces
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	Comparison of adjacency matrix construction methods for graph learning based traffic-flow prediction
Traffic signal control	An Experimental Study on Max-Pressure Traffic Controller based on Delays
Traffic Simulation	Traffic Dynamics in the Presence of Abrupt or Planned Events
Traffic state analysis	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps
traffic state estimation	Investigating Floating Car Observers for Traffic State Estimation through Co-Simulation A Physics-informed Deep Learning Framework for Traffic State Estimation on Multi-ramp Freeways Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
Traffic state estimation and prediction	Infrastructure-enabled Defense Methods against Data Poisoning Attacks on Traffic State Estimation and Prediction
traffic state prediction	A PHYSICS-INFORMED MULTI-CLASS LSTM MODEL FOR TRAFFIC STATE ESTIMATION
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	Assessing the Conditional Value-at-Risk of a train schedule under fuzzy activity duration
Trajectory data	Drone-Based Trajectory Data for an All-Traffic-State Inclusive Freeway with Ramps Enabling stop-and-go wave analysis for massive trajectory data
Trajectory optimization	A Constrained Differential Dynamic Programming Algorithm for Automated Vehicles in Lane-Free Traffic
trajectory planning	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
Trajectory Prediction	LLM-TP: Enhancing Trajectory Prediction for Autonomous Driving with LLMs and Chain-of-Thought Prompting Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
tram disturbance	Multimodal Traffic Network Division under Disturbances Using A Joint Spectral Approach
Transfer Entropy	Causal Impact Inference for Traffic Networks with Graph-Integrated Transfer Entropy
Transformer	Path pool based transformer model in reinforcement framework for dynamic urban drone delivery problem
Transformers	ImputeFormer: Low Rankness-Induced Transformers for Spatiotemporal Traffic Data Imputation
Transit accessibility	A Tradable Equity Credit (TEC) Scheme for Public Transit Services: Computational Graph-Based Framework for Equitable Mobility Management and Dynamic Pricing
transit services	Bayesian Inference of Time-varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Transport space allocation	More Space for Vulnerable Road Users with Autonomous Intersection Management
transportation	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
Transportation Planning
Transportation system performance	ChatATC: Large Language Model-Driven Agents for Strategic and Tactical Air Traffic Management and Control
Transshipment	A Practical Approach to Transshipment in Collaborative and Crowdsourced Delivery Services
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
Traveler heterogeneity	Multimodal traffic assignment considering heterogeneous demand and modular operation of shared autonomous vehicles
Trip Chaining
Trip purpose	Modeling Crowd-Sourced Spatio-Temporal Flexibility Insights in Origin-Destination Matrices Estimation
Truck-Drones	Formulation of the Parallel Scheduling Vehicle Routing Problem
turning ratio prediction	Network-level Adaptive Signal Control Optimization Under A Closed-loop Online Updating Framework
U
UAV trajectory planning	Bayesian optimal UAV trajectory planning for minimising the uncertainty of traffic density estimations
Uncertainty and Sensitivity analysis	Incorporating human factors in car-following models: a model credibility assessment framework
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
unmanned traffic management	A Study of UTM ConOps for Drone Delivery: Route Network Design & 4D Trajectory Planning
Unsignalized Intersections	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Urban Air Mobility	Sustainable Freight Distribution Travel Demand Assessment – Empirical Agent-Based Spatial Infrastructure Modelling Methodology Evaluating UAM Route Feasibility in Terminal Airspace via Probabilistic Aircraft Trajectory Prediction
Urban Logistics	Sustainable Freight Distribution Travel Demand Assessment – Empirical Agent-Based Spatial Infrastructure Modelling Methodology
urban mobility dynamics	Group Effect Enhanced Generative Adversarial Imitation Learning for Urban Mobility Dynamics
urban road networks	An Experimental Study on Max-Pressure Traffic Controller based on Delays
Urban traffic control	More Space for Vulnerable Road Users with Autonomous Intersection Management
User equilibrium
V
V2G integration	EVs and Renewable Energy: Paving the Way for Greener Electromobility Networks
variable speed limit control	Coordinated Control for Lane-free Traffic of Connected Automated Vehicles on Freeways: Internal Boundary Control, Ramp Metering and Variable Speed Limit Control
Variable Speed Limits	Integrating feedback control with reinforcement learning for lane-adaptive variable speed limits
vehicle emission models	NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models
vehicle reposition
vehicle repositioning
Vehicle trajectory	Traffic Queue Length Estimation and Prediction in Signalized Intersection using Sparse Vehicle Trajectory
Vehicle-pedestrian Interactions	Detecting and Modelling the Interactions of Road Users in Shared Spaces
Vehicle-to-Vehicle charging	Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations
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
Virtual reality	Spatial Differences in Pedestrian-AV Interactions in Future Urban Environments: A Large-Scale VR Study
Vision language models	Vision-language Fusion for Road Marking Detection in Autonomous Driving
Vulnerable Road Users	Where do Vulnerable Road Users Go at Automated Unsignalized Intersections? An Analysis of Interactions
Vulnerable Road Users (VRUs)	More Space for Vulnerable Road Users with Autonomous Intersection Management

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