TSL2023: TSL CONFERENCE 2023

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

A
A two-sided market
Acceptance uncertainty	Integrating Individual Compensations and its Influence on Acceptance Behavior in Crowdsourced Delivery
Accessible sidewalk	Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized)
Adaption time	Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
adaptive large neighborhood search	Cyclic Stochastic Inventory Routing and Inventory Control Policy Optimization for Medical Supply
Adaptive Learning	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
Adaptive Routing	Subscription Models for Differential Access to Real-time Information
Advanced Air Mobility (AAM)	Customer Privacy in Vehicle Routing Problems
Aerial Network	Unmanned Aerial Vehicle Routing: A Quantum Computing Approach
Agri-food supply chain
Airline Fleet and Crew Scheduling	Robust Airline Fleet and Crew Scheduling: Mathematical Modelling and a Matheuristic Approach
Airport leakage	Estimating Airport Leakage with Connected and Automated Vehicle Adoption
airport slot allocation	Nonmonetary Allocation Under Congestion
ALNS	Integrating Multi-Depot Freight Transport in Public Transport Formulation and ALNS for Online Dispatching and Rebalancing in First-mile Ride-sharing Problems
alternative fuel vehicles	Location-Routing Problem for Emergency Refueling Station Deployment to Support Alternative Fuel Vehicles Evacuation
Approximate dynamic programming	Demand Management for Parcel Lockers Heatmap design for probabilistic driver repositioning in crowdsourced delivery Planning drone delivery operations under uncertainty in service demand and energy consumption Dynamic Time Window Assignment for Next-Day Service Routing Dynamic Collection of Geographically Dispersed Perishable Products The Restaurant Meal Delivery Problem with Ghost Kitchens
Arrival time spread	Vehicle Routing in Mass Testing Programs for Pandemic Mitigation
Arrival time Synchronization	An Autonomous Modular Public Transit Service
Artificial Currencies	Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
artificial intelligence	Improved Regret Bounds for Online Decisions on Network-based Resource Allocation Problems
assignment	Revisiting School District Design: A Stream-based Approach
asymptotic optimality	An Analysis of Batching and Greedy Policies in Dynamic Matching
Attended home deliveries	Effective Auction-Based Request Exchange for Attended Home Deliveries
Attended Home Delivery	Last-mile delivery with robots: a multi-vehicle routing approach Data-driven Customer Acceptance for Attended Home Delivery
Autonomous Mobile Robots	A Column Generation Approach for Public Transit Enhanced Robotic Delivery Services
autonomous mobility on demand	Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
autonomous mobility-on-demand	Mapping Street Networks with Autonomous Mobility-on-Demand Systems Staggered Routing in Autonomous Mobility-on-Demand Systems
Autonomous Modular Public Transit (AMPT)	An Autonomous Modular Public Transit Service
autonomous modular vehicle	Exploiting modularity in co-modal passenger-freight transportation: a market-driven approach
Autonomous Modular Vehicle Technology (AMVT)	An Autonomous Modular Public Transit Service
Autonomous vehicles	Last-mile delivery with robots: a multi-vehicle routing approach Optimizing First-Mile Ridesharing Services with Private Autonomous Cars
Availability Control	On the Benefit of Combining Car Rental and Car Sharing
B
Backhauling	Hyperconnected Relay-Hub Network Design for Consolidation Planning Under Demand Variability
BAP	Collaborative Berth Allocation with Row Generation Methods for the Core and Nucleolus
bathtub model	Learning Generalized Mean-Field Game for Day-to-Day Departure Time Choice with Dynamic Population
Bayesian Optimization	Dynamic Priority Rules for Combining On-Demand Passenger Transportation and Transportation of Goods
Benders decomposition	A chance-constrained model for a Production Routing Problem with uncertain availability of vehicles Scenario-Clustered Benders Dual Decomposition for the Time Window Assignment Routing Problem Data-driven hub network design for ridesharing A Branch-and-Price approach for the Stochastic Selective TSP with Generalized Latency Rebalancing an E-scooter Sharing System with En Route Charging Capability Heavy-duty Truck Electrification with Charging Infrastructure Decisions Exact solution methods for an integrated multi-stakeholder freight transportation system with stochastic demand
Benders’ decomposition
Bi-level Optimization	Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
bi-objective	The trade-off between optimization and adherence to standard practice: a data-driven approach
Bicycle courier service	Integrating Riders’ Preferences in a Bicycle-Based Courier Service
Branch and Cut Method
branch and price	Fair stochastic vehicle routing with partial deliveries
Branch-and-cut	The multi-vehicle inventory routing problem with online demands
branch-and-price	A Branch-and-Price approach for the Stochastic Selective TSP with Generalized Latency The k Traveling Repairman Problem with Stochastic Service Request Times (kTRP-S) Two-Echelon Prize-Collecting Vehicle Routing with Time Windows and Vehicle Synchronization: A Branch-and-Price Approach
Branch-price-and-cut	Data-driven Approaches for the Feature-based Vehicle Routing Problem with Time Windows Solving the Technician Park-and-loop Routing Problem by Branch-price-and-cut Multi-Product Multi-Warehouse Delivery Problem under Inventory Constraints Two-Stage Learning to Branch in the Branch-Price-and-Cut Solution Framework for Vehicle Routing Problems
BRDUE	Mixed Information Routing Framework Using Competing Equilibrium Strategy
bystanders	Optimizing the Coordination of Ambulances and Drone-delivered Equipment Operated by Bystanders
C
Capacity availability	A Novel Solution Approach for the Locker Location Problem Under Uncertainty
Car Rental	On the Benefit of Combining Car Rental and Car Sharing
Car Sharing	On the Benefit of Combining Car Rental and Car Sharing
cargo bicycle delivery	Micro Consolidation Centres with cross-docking favoring cargo bike distribution in small city freight logistics
Cargo tunnel	Jam in the tunnel: On urban freight tunnels, their operational scheduling, and unused transport capacity
carsharing	Optimal carsharing service region partition for profit maximization
chance-constrained model	A chance-constrained model for a Production Routing Problem with uncertain availability of vehicles
Charger location	Heavy-duty Truck Electrification with Charging Infrastructure Decisions
charging	Long-haul Electric Truck Routing and Driver Scheduling with Coordinated Charging Scheduling
choice-based linear programming	Hierarchical demand management decomposition for online vehicle routing problems
City Logistics	The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT) An inventory routing problem in a city logistics context The Dynamick Pickup-and-Delivery Problem for Local Platforms
Clustering	A set partitioning-based heuristic for the production routing problem using different clustering methods
clustering-based heuristic	A scalable clustering-based heuristic for large-scale real-time vehicle routing problems
co-modality	Exploiting modularity in co-modal passenger-freight transportation: a market-driven approach
coalition structure	Heuristic approaches to the optimal coalition structure problem in non-subadditive cooperative games with application to collaboration in humanitarian supply chains
Collaboration	Collaborative Berth Allocation with Row Generation Methods for the Core and Nucleolus
Collaborative aircraft routing
Collaborative distribution
Collaborative Robots	Dynamic Order Picking with Collaborative Robots in a Stochastic Retail Store
Collaborative transportation planning	Effective Auction-Based Request Exchange for Attended Home Deliveries
Collaborative Vehicle Routing	A Performance-guaranteed Distributed Algorithm for Collaborative Vehicle Routing
Collection problem	Dynamic Collection of Geographically Dispersed Perishable Products
Collision Avoidance	Unmanned Aerial Vehicle Routing: A Quantum Computing Approach
Column generation	Attendance Rate Policies for Personnel in Passenger Rail Transport Learning dual inequalities for column generation A Column Generation Approach for Public Transit Enhanced Robotic Delivery Services A Column Generation Approach to the Crowd-Shipping Problem with Transfers Solving the Technician Park-and-loop Routing Problem by Branch-price-and-cut Two-Stage Learning to Branch in the Branch-Price-and-Cut Solution Framework for Vehicle Routing Problems Railway Rolling Stock Optimization with Maintenance Paths The Dynamick Pickup-and-Delivery Problem for Local Platforms
column-and-constraint generation	A New Robust Optimization Method for Service Network Design under Travel Time Uncertainty
Column-generation algorithm	Optimizing First-Mile Ridesharing Services with Private Autonomous Cars
combinatorial auction	Anticipatory request acceptance in dynamic and collaborative vehicle routing Effective Auction-Based Request Exchange for Attended Home Deliveries
Combinatorial Benders’ cuts
Combinatorial Optimization	Reinforcement Learning for Dynamic Transportation Problems
Commuting trips	Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
Comparative Statics	Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Compensation schemes	Integrating Individual Compensations and its Influence on Acceptance Behavior in Crowdsourced Delivery
completion bounds	Fair stochastic vehicle routing with partial deliveries
Computational complexity	Vehicle sequencing at transshipment terminals with handover relations
congestion game	Nonmonetary Allocation Under Congestion
Congestion Games	Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Congestion Pricing	Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Connected and automated vehicles	Estimating Airport Leakage with Connected and Automated Vehicle Adoption
Connected and Autonomous Vehicle	Dynamic Programming with Predictive Cuts for Cooperative Connected and Autonomous Vehicle Scheduling based on Markov Decision Process
Consolidation	Stochastic Scheduled Service Network Design: the Value of Flexible Schedules Hyperconnected Relay-Hub Network Design for Consolidation Planning Under Demand Variability
continuous approximation	Customer Satisfaction and Differentiated Pricing in E-Retail Delivery Modeling a Semi-Flexible Transit System: A Markovian Continuous Approximation Approach
continuous time	A New Robust Optimization Method for Service Network Design under Travel Time Uncertainty
Convex Program	Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
cooperative game theory	Heuristic approaches to the optimal coalition structure problem in non-subadditive cooperative games with application to collaboration in humanitarian supply chains
Cooperative Scheduling	Dynamic Programming with Predictive Cuts for Cooperative Connected and Autonomous Vehicle Scheduling based on Markov Decision Process
Core	Collaborative Berth Allocation with Row Generation Methods for the Core and Nucleolus
cost function approximation	Demand and Capacity Management in a Stochastic Dynamic Pickup-and-Delivery Problem
cost funtion approximation	Dynamic Service Network Design Problem
cost prediction	Solving Large-Scale Multi-Depot Vehicle Routing Problems via Decomposition and Deep Learning
Cost-Function Approximation	The Dynamick Pickup-and-Delivery Problem for Local Platforms
Counts time-series	Deep probabilistic forecasting of count data in multimodal transport systems
COVID-19 pandemic	Dine in or Take out? Trends on Restaurant Service Demand amid the COVID-19 Pandemic
crew scheduling	Attendance Rate Policies for Personnel in Passenger Rail Transport
Crowd-shipping	A Column Generation Approach to the Crowd-Shipping Problem with Transfers
Crowdshipper behavior	Integrating Individual Compensations and its Influence on Acceptance Behavior in Crowdsourced Delivery
crowdsourced delivery	Dynamic Crowdsourced Delivery with Rental Electric Vehicles Heatmap design for probabilistic driver repositioning in crowdsourced delivery Integrating Individual Compensations and its Influence on Acceptance Behavior in Crowdsourced Delivery
crowdsourced transportation	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
crowdsourcing	Demand and Capacity Management in a Stochastic Dynamic Pickup-and-Delivery Problem
Curbside management	Modeling Multi-modal Curbside Usage in Dynamic Networks
Customer privacy	Customer Privacy in Vehicle Routing Problems
CVRP	Two-Stage Learning to Branch in the Branch-Price-and-Cut Solution Framework for Vehicle Routing Problems
D
Daily Package Shipment
data-driven	The trade-off between optimization and adherence to standard practice: a data-driven approach
Data-Driven Customer Acceptance	Data-driven Customer Acceptance for Attended Home Delivery
data-driven optimization	Data-driven Approaches for the Feature-based Vehicle Routing Problem with Time Windows
day-to-day departure time choice	Learning Generalized Mean-Field Game for Day-to-Day Departure Time Choice with Dynamic Population
decarbonization	A Framework for Locating and Sizing Service Facilities on Networks to Support Decarbonization of Transportation
decision support	Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
Deep learning	Deep probabilistic forecasting of count data in multimodal transport systems Solving Large-Scale Multi-Depot Vehicle Routing Problems via Decomposition and Deep Learning
deep reinforcement learning	Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Delivery as a Service	Customer Privacy in Vehicle Routing Problems
demand location	Joint Facility and Demand Location Problem
Demand Management	Demand Management for Parcel Lockers
Deprivation costs	A multi-period heterogeneous fleet distribution model for disaster response
destroy-and-repair	Coordinating destroy-and-repair operators in large-scale ground-drone routing problems with public transportation
Disaster Response	Repair Crew Routing for Infrastructure Network Restoration
dockless system	A Locational Demand Model for Free-floating Micro-mobility Systems
Driver incentive	Threshold-Based Incentives for Ride-Sourcing Drivers: Implications on Supply Management and Welfare Effects
drone delivery	Rural Parcel Delivery by Drone
drone delivery plan	Planning drone delivery operations under uncertainty in service demand and energy consumption
Drone package delivery	Customer Privacy in Vehicle Routing Problems
Drones	A multi-period heterogeneous fleet distribution model for disaster response Optimizing the Coordination of Ambulances and Drone-delivered Equipment Operated by Bystanders
DSO	Mixed Information Routing Framework Using Competing Equilibrium Strategy
Dual cycling	The Continuous Dual Cycling Problem in Roll-on Roll-off Terminals
Dual inequalities	Learning dual inequalities for column generation
Dwell time	Optimal on- and off-boarding operations in urban mass transit
Dwell time uncertainty	Paratransit Routing Considering Dwell Time Uncertainty and Contexts of Requests
Dynamic adjacent graphs	Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
dynamic discretization discovery	Service Network Design of Freight on Transit Operations for Same-Day Delivery Dynamic Discretization Discovery for the Multi-Depot Vehicle Scheduling Problem with Trip Shifting
Dynamic Dispatch Waves with Time Windows	A Simulation-optimization Framework for the Dynamic Dispatch Wave Problem with Time Windows
dynamic matching	An Analysis of Batching and Greedy Policies in Dynamic Matching
dynamic optimization problems	Bid Acceptance Policies for the Dynamic Order Dispatching Problem with Occasional Drivers
dynamic population game	CARMA: Fair and efficient bottleneck congestion management with non-tradable credits
Dynamic pricing	Dynamic Selection and Pricing of Out of Home Delivery Modeling Multi-modal Curbside Usage in Dynamic Networks
dynamic programming	Improved Regret Bounds for Online Decisions on Network-based Resource Allocation Problems A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone Dynamic Programming with Predictive Cuts for Cooperative Connected and Autonomous Vehicle Scheduling based on Markov Decision Process
Dynamic Routing	Dynamic parcel routing in hyper-connected networks Dynamic Order Picking with Collaborative Robots in a Stochastic Retail Store The Dynamick Pickup-and-Delivery Problem for Local Platforms
dynamic service network design	Dynamic Service Network Design Problem
dynamic stochastic drone routing	Planning drone delivery operations under uncertainty in service demand and energy consumption
Dynamic stochastic routing	Dynamic Collection of Geographically Dispersed Perishable Products
Dynamic Traffic assignment	A Linear Programming Model for System Optimal Dynamic Traffic Assignment in Link- and Region-based Traffic Networks Mixed Information Routing Framework Using Competing Equilibrium Strategy
Dynamic vehicle dispatch	Dynamic Collection of Geographically Dispersed Perishable Products
Dynamic vehicle routing	The Restaurant Meal Delivery Problem with Ghost Kitchens
dynamic vehicle routing problem with time windows	Machine Learning based Combinatorial Optimization to solve the dynamic VRPTW
E
E-Commerce	Customer Satisfaction and Differentiated Pricing in E-Retail Delivery Last mile deliveries with some-day option for more sustainability in e-commerce
e-commerce logistics	Middle-Mile Consolidation Network Design: Maximizing Profit through Flexible Lead Times
education	Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules Revisiting School District Design: A Stream-based Approach
electric truck routing and driver scheduling problem (eTRDSP-CS)	Long-haul Electric Truck Routing and Driver Scheduling with Coordinated Charging Scheduling
Electrification of transports	Heavy-duty Truck Electrification with Charging Infrastructure Decisions
Emergency medical service
emergency medical services	Optimizing the Coordination of Ambulances and Drone-delivered Equipment Operated by Bystanders
Emissions Accounting	The Service Network Design Problem with Fleet and Emissions Management
Equilibrium	Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Equitable and stable two-sided matching (ESTM)
Equity	On the Challenge of Maintaining Equity and Effectiveness over Multiple Periods
Equity metrics
EURO meets NeurIPS VRP competition	A Simulation-optimization Framework for the Dynamic Dispatch Wave Problem with Time Windows
evacuation	Location-Routing Problem for Emergency Refueling Station Deployment to Support Alternative Fuel Vehicles Evacuation
exact algorithms	The Commodity Constrained Split Delivery Vehicle Routing Problem with Temperature Requirements
exact method	Solving Capacitated Multi-Trip Vehicle Routing Problem with Time Windows
expectation-maximization algorithm	A Locational Demand Model for Free-floating Micro-mobility Systems
Exploration-exploitation trade-off
explore-and-bound algorithm	Demand-Responsive Microtransit: Design and Operations
F
facility location	A Novel Solution Approach for the Locker Location Problem Under Uncertainty Joint Facility and Demand Location Problem A Framework for Locating and Sizing Service Facilities on Networks to Support Decarbonization of Transportation
Fair Routing	Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
Fairness Efficiency Tradeoff	Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
First mile
First-mile Ride-sharing	Formulation and ALNS for Online Dispatching and Rebalancing in First-mile Ride-sharing Problems
First-mile ridesharing	Optimizing First-Mile Ridesharing Services with Private Autonomous Cars
First/last mile	Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized)
Fixed charge	A Cutting-Plane Based Approach for Fixed Charge Transportation Problem
Fleet composition	Fleet Composition Optimization with Truckload and Less-Than-Truckload Shipping Options
Fleet Management	The Service Network Design Problem with Fleet and Emissions Management
Fleet size planning	Rate-based Vehicle Routing Problem for Delivery in Densely Populated Urban Areas
Fleet transition	Heavy-duty Truck Electrification with Charging Infrastructure Decisions
fleet-sizing	Green Tactical Fleet-Sizing Decisions for Last-Mile Delivery Systems
Flex-route transit system	Modeling a Semi-Flexible Transit System: A Markovian Continuous Approximation Approach
Flexibility	Stochastic Scheduled Service Network Design: the Value of Flexible Schedules
Flexible Frequencies	Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
fluid approximation	Mapping Street Networks with Autonomous Mobility-on-Demand Systems
Food Banks	On the Challenge of Maintaining Equity and Effectiveness over Multiple Periods
Forecasting	Deep probabilistic forecasting of count data in multimodal transport systems
free-floating bike-sharing	A Locational Demand Model for Free-floating Micro-mobility Systems
freight on transit	Service Network Design of Freight on Transit Operations for Same-Day Delivery
Freight regulations	Estimating the impacts of freight transport regulations in logistically complicated small cities
Freight transportation	An Analysis of Batching and Greedy Policies in Dynamic Matching New Formulations for the Scheduled Service Network Design Problem Stochastic Scheduled Service Network Design: the Value of Flexible Schedules
G
Gale-Shapley (GS) algorithm
Game-theoretic Control	A Performance-guaranteed Distributed Algorithm for Collaborative Vehicle Routing
Gaussian Process Regression	Learning and Predicting Pareto Fronts of Multi-criteria Itineraries
generalized mean-field game	Learning Generalized Mean-Field Game for Day-to-Day Departure Time Choice with Dynamic Population
genetic algorithm	Solving Large-Scale Multi-Depot Vehicle Routing Problems via Decomposition and Deep Learning A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Ghost kitchens	The Restaurant Meal Delivery Problem with Ghost Kitchens
GPS tracking data	Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
Graph Neural Network	Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
Green Transportation	Probabilistic Shortest Electric Vehicle Paths
greener freight transportation	Micro Consolidation Centres with cross-docking favoring cargo bike distribution in small city freight logistics
Grid Transit System	An Autonomous Modular Public Transit Service
ground-drones delivery	Coordinating destroy-and-repair operators in large-scale ground-drone routing problems with public transportation
guided local search	A scalable clustering-based heuristic for large-scale real-time vehicle routing problems
H
Handover relations	Vehicle sequencing at transshipment terminals with handover relations
heatmap	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
heterogeneous server location	Optimizing the Coordination of Ambulances and Drone-delivered Equipment Operated by Bystanders
Heterogenous fleet	A multi-period heterogeneous fleet distribution model for disaster response
Heuristic	A set partitioning-based heuristic for the production routing problem using different clustering methods
Heuristics	Multi-modal multi-echelon logistics optimisation planning for medical interchanges in the Solent region of the UK using drones, cargo bikes, and vans
Hierarchical Clustering	Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
Historical Data	Data-driven Customer Acceptance for Attended Home Delivery
Home delivery services	Dynamic Selection and Pricing of Out of Home Delivery
Horizontal Collaboration	A Performance-guaranteed Distributed Algorithm for Collaborative Vehicle Routing Anticipatory request acceptance in dynamic and collaborative vehicle routing Effective Auction-Based Request Exchange for Attended Home Deliveries
Hub constraints	Service Network Design with Hub Constraints
hub location	Rivers, trees, hubs and stopovers
Hub network design	Data-driven hub network design for ridesharing
humanitarian logistics	A multi-period heterogeneous fleet distribution model for disaster response On the Challenge of Maintaining Equity and Effectiveness over Multiple Periods Joint Facility and Demand Location Problem
humanitarian supply chain	Heuristic approaches to the optimal coalition structure problem in non-subadditive cooperative games with application to collaboration in humanitarian supply chains
Hybrid Genetic Search	Integrated Production and Transportation Optimization with Blocking & Limited Intermediate Storage using Hybrid Genetric Search A Simulation-optimization Framework for the Dynamic Dispatch Wave Problem with Time Windows
hybrid learning and optimization	Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Hybrid Networks	A Linear Programming Model for System Optimal Dynamic Traffic Assignment in Link- and Region-based Traffic Networks
Hyperconnectivity	Hyperconnected Relay-Hub Network Design for Consolidation Planning Under Demand Variability
I
Imitating strong branching	Two-Stage Learning to Branch in the Branch-Price-and-Cut Solution Framework for Vehicle Routing Problems
Immobile target	Using Prize-Collection Concepts to Solve Time-Limited Search Problems
Implementation	The perfect match for drivers and riders: Real-time Reinforcement Learning at Lyft
Information Fusion	Optimizing Potential Information Gain from Satellites over Space and Time for Multi-INT Fusion
infrastructure deployment	A Framework for Locating and Sizing Service Facilities on Networks to Support Decarbonization of Transportation
Instant delivery	Dynamic Priority Rules for Combining On-Demand Passenger Transportation and Transportation of Goods
Integer programming	The multi-vehicle inventory routing problem with online demands Learning-based Optimization for Tactical Load Plan Modification in Service Networks New Formulations for the Scheduled Service Network Design Problem A Cutting-Plane Based Approach for Fixed Charge Transportation Problem Submodular Dispatching with Multiple Vehicles Railway Rolling Stock Optimization with Maintenance Paths
Integrated consolidation-based freight transportation	Exact solution methods for an integrated multi-stakeholder freight transportation system with stochastic demand
integrated demand management and vehicle routing	Hierarchical demand management decomposition for online vehicle routing problems
Integrated Optimization	Integrated Production and Transportation Optimization with Blocking & Limited Intermediate Storage using Hybrid Genetric Search
Integrated Planning	A set partitioning-based heuristic for the production routing problem using different clustering methods
Integrated warehousing and distribution	Multi-Product Multi-Warehouse Delivery Problem under Inventory Constraints
Integration of timetabling and passenger routing	Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
interactive	Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
Intermediate Storage	Integrated Production and Transportation Optimization with Blocking & Limited Intermediate Storage using Hybrid Genetric Search
Intermodal Transport	Cycle-based Service Network Design and Pricing based on Mode Choice Behavior Synchromodal transport re-planning under service time uncertainty: An online reinforcement learning approach
inventory	An inventory routing problem in a city logistics context
Inventory constraints	Multi-Product Multi-Warehouse Delivery Problem under Inventory Constraints
inventory control policy	Cyclic Stochastic Inventory Routing and Inventory Control Policy Optimization for Medical Supply
Inventory Routing Problem
Inverse Optimization	Learning Drivers’ Preferences in Delivery Route Planning: an Inverse Optimization Approach
ISR	Optimizing Potential Information Gain from Satellites over Space and Time for Multi-INT Fusion
J
Joining/Disjoining of Pods	An Autonomous Modular Public Transit Service
K
k-Cardinality Trees	Underground Freight Transportation for Last Mile Delivery in Urban Environments
Kalman Filter	Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
karma mechanism	CARMA: Fair and efficient bottleneck congestion management with non-tradable credits
Kriging	Optimizing Potential Information Gain from Satellites over Space and Time for Multi-INT Fusion
L
large neighborhood search	Coordinating destroy-and-repair operators in large-scale ground-drone routing problems with public transportation
Last mile	Jam in the tunnel: On urban freight tunnels, their operational scheduling, and unused transport capacity
Last Mile Delivery	Demand Management for Parcel Lockers Bid Acceptance Policies for the Dynamic Order Dispatching Problem with Occasional Drivers Underground Freight Transportation for Last Mile Delivery in Urban Environments
Last Mile Logistics	Multi-modal multi-echelon logistics optimisation planning for medical interchanges in the Solent region of the UK using drones, cargo bikes, and vans
Last mile routing	Learning Drivers’ Preferences in Delivery Route Planning: an Inverse Optimization Approach
last-mile deliveries	Green Tactical Fleet-Sizing Decisions for Last-Mile Delivery Systems
Last-mile delivery	A Novel Solution Approach for the Locker Location Problem Under Uncertainty Customer Satisfaction and Differentiated Pricing in E-Retail Delivery Optimal Parking Strategies for Last-Mile Delivery A Column Generation Approach to the Crowd-Shipping Problem with Transfers Effective Auction-Based Request Exchange for Attended Home Deliveries Rate-based Vehicle Routing Problem for Delivery in Densely Populated Urban Areas
Last-mile transport	Integrating Multi-Depot Freight Transport in Public Transport
Learning Preferences	Learning Drivers’ Preferences in Delivery Route Planning: an Inverse Optimization Approach
learning-based matheuristic	An Integrated Learning and Progressive Hedging Matheuristic for Stochastic Network Design Problem
Less-than-truckload	Fleet Composition Optimization with Truckload and Less-Than-Truckload Shipping Options
Linear Optimization	The Continuous Dual Cycling Problem in Roll-on Roll-off Terminals
Linear Programming	A Linear Programming Model for System Optimal Dynamic Traffic Assignment in Link- and Region-based Traffic Networks
load plan modification	Learning-based Optimization for Tactical Load Plan Modification in Service Networks
Loading Operations	The Continuous Dual Cycling Problem in Roll-on Roll-off Terminals
local optimization	Learning-based Optimization for Tactical Load Plan Modification in Service Networks
local search	Middle-Mile Consolidation Network Design: Maximizing Profit through Flexible Lead Times
local search algorithm	Joint Facility and Demand Location Problem
location problem	Location-Routing Problem for Emergency Refueling Station Deployment to Support Alternative Fuel Vehicles Evacuation
locational demand model	A Locational Demand Model for Free-floating Micro-mobility Systems
Logistics	Last-mile delivery with robots: a multi-vehicle routing approach Last mile deliveries with some-day option for more sustainability in e-commerce Submodular Dispatching with Multiple Vehicles
long haul electric truck	Long-haul Electric Truck Routing and Driver Scheduling with Coordinated Charging Scheduling
Lookahead algorithm	Dynamic Time Window Assignment for Next-Day Service Routing
M
machine learning	Dynamic Selection and Pricing of Out of Home Delivery Data-driven Approaches for the Feature-based Vehicle Routing Problem with Time Windows Learning dual inequalities for column generation Learning-based Optimization for Tactical Load Plan Modification in Service Networks The trade-off between optimization and adherence to standard practice: a data-driven approach
Many-to-Many Pickup-and-Delivery with Split Loads	Using a combination of Microhubs and Crowdshipping as an alternative for Urban Delivery systems
many-to-one matching market	Nonmonetary Allocation Under Congestion
Marginal Cost	Mixed Information Routing Framework Using Competing Equilibrium Strategy
Markov chains	Modeling a Semi-Flexible Transit System: A Markovian Continuous Approximation Approach
Markov Decision Process	Heatmap design for probabilistic driver repositioning in crowdsourced delivery Optimal Parking Strategies for Last-Mile Delivery Dynamic Order Picking with Collaborative Robots in a Stochastic Retail Store Dynamic Programming with Predictive Cuts for Cooperative Connected and Autonomous Vehicle Scheduling based on Markov Decision Process
Matching	Almost Stable Matchings for a Truck Platooning System with Role Specification
Mathematical Modelling	Robust Airline Fleet and Crew Scheduling: Mathematical Modelling and a Matheuristic Approach
Matheuristics	A Novel Solution Approach for the Locker Location Problem Under Uncertainty Robust Airline Fleet and Crew Scheduling: Mathematical Modelling and a Matheuristic Approach
mean-field reinforcement learning	Learning Generalized Mean-Field Game for Day-to-Day Departure Time Choice with Dynamic Population
medical supply	Cyclic Stochastic Inventory Routing and Inventory Control Policy Optimization for Medical Supply
Metaheuristics	Vehicle Routing in Mass Testing Programs for Pandemic Mitigation
micro-hubs	Consistent Routing for Local Same-Day Delivery via Micro-Hubs
Microhub with Crowdshipping	Using a combination of Microhubs and Crowdshipping as an alternative for Urban Delivery systems
Microtransit
middle mile	Middle-Mile Consolidation Network Design: Maximizing Profit through Flexible Lead Times
Mission Planning	Optimizing Potential Information Gain from Satellites over Space and Time for Multi-INT Fusion
Mixed Integer Linear Programming	Reinforcement Learning for Dynamic Transportation Problems
Mixed Integer Programing	The Service Network Design Problem with Fleet and Emissions Management
Mixed Integer Programming	Probabilistic Shortest Electric Vehicle Paths Heavy-duty Truck Electrification with Charging Infrastructure Decisions
mixed integer second-order cone programming	Mapping Street Networks with Autonomous Mobility-on-Demand Systems
mixed traffic	Why and How to Truck-Platooning in Mixed Traffic: A Stochastic Variational Inequality Approach
mixed-integer linear program	Optimal carsharing service region partition for profit maximization Rebalancing an E-scooter Sharing System with En Route Charging Capability
mixed-integer optimization	Demand-Responsive Microtransit: Design and Operations
Mixed-integer programming	Scenario-Clustered Benders Dual Decomposition for the Time Window Assignment Routing Problem
ML-CO pipeline	Machine Learning based Combinatorial Optimization to solve the dynamic VRPTW
mobile facilities	A Covering Model for Multi-Period Mobile Facility Location
mobility-on-demand	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
Mode Choice	Cycle-based Service Network Design and Pricing based on Mode Choice Behavior
morning commute	CARMA: Fair and efficient bottleneck congestion management with non-tradable credits
multi commodity	The Commodity Constrained Split Delivery Vehicle Routing Problem with Temperature Requirements
multi-agent learning	Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
multi-class traffic assignment	Why and How to Truck-Platooning in Mixed Traffic: A Stochastic Variational Inequality Approach
multi-depot vehicle routing problem	Solving Large-Scale Multi-Depot Vehicle Routing Problems via Decomposition and Deep Learning
multi-echelon	An inventory routing problem in a city logistics context
Multi-echelon vehicle routing	Multi-modal multi-echelon logistics optimisation planning for medical interchanges in the Solent region of the UK using drones, cargo bikes, and vans
Multi-period	On the Challenge of Maintaining Equity and Effectiveness over Multiple Periods
Multi-period allocation-routing	A multi-period heterogeneous fleet distribution model for disaster response
multi-trip	Solving Capacitated Multi-Trip Vehicle Routing Problem with Time Windows
multi-variable generation	Relay logistics: a column-set-generation approach
Multi-vehicle inventory routing	The multi-vehicle inventory routing problem with online demands
Multiclass Equilibrium Models	Subscription Models for Differential Access to Real-time Information
Multigraph	Integrating Riders’ Preferences in a Bicycle-Based Courier Service
Multimodal accessibility	Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized)
Multimodal Mobility	Learning and Predicting Pareto Fronts of Multi-criteria Itineraries
Multimodal transport hub	Deep probabilistic forecasting of count data in multimodal transport systems
Multiple heterogeneous depots
Multiple products	Multi-Product Multi-Warehouse Delivery Problem under Inventory Constraints
Multivariate time-series	Deep probabilistic forecasting of count data in multimodal transport systems
N
Nash-Cournot game	Exploiting modularity in co-modal passenger-freight transportation: a market-driven approach
Network Design	Designing Equitable Transit Networks Hyperconnected Relay-Hub Network Design for Consolidation Planning Under Demand Variability
network flow problem	Joint Facility and Demand Location Problem
network learning	Mapping Street Networks with Autonomous Mobility-on-Demand Systems
Network Restoration	Repair Crew Routing for Infrastructure Network Restoration
networks	An Integrated Learning and Progressive Hedging Matheuristic for Stochastic Network Design Problem A Framework for Locating and Sizing Service Facilities on Networks to Support Decarbonization of Transportation
Next-day service routing	Dynamic Time Window Assignment for Next-Day Service Routing
NLP model	Optimal on- and off-boarding operations in urban mass transit
Non-stationary combinatorial Gaussian bandits
non-subadditive games	Heuristic approaches to the optimal coalition structure problem in non-subadditive cooperative games with application to collaboration in humanitarian supply chains
non-tradable credit	CARMA: Fair and efficient bottleneck congestion management with non-tradable credits
nonbipartite matching	An Analysis of Batching and Greedy Policies in Dynamic Matching
nonmonetary mechanism design	Nonmonetary Allocation Under Congestion
Nucleolus	Collaborative Berth Allocation with Row Generation Methods for the Core and Nucleolus
O
occasional drivers	Bid Acceptance Policies for the Dynamic Order Dispatching Problem with Occasional Drivers Integrating Individual Compensations and its Influence on Acceptance Behavior in Crowdsourced Delivery
on-demand delivery	Heatmap design for probabilistic driver repositioning in crowdsourced delivery
On-demand service	Dine in or Take out? Trends on Restaurant Service Demand amid the COVID-19 Pandemic
Online food delivery	Dine in or Take out? Trends on Restaurant Service Demand amid the COVID-19 Pandemic
Online Grocery Shopping	Dynamic Order Picking with Collaborative Robots in a Stochastic Retail Store
Online learning	Online Learning for Traffic Routing under Unknown Preferences The perfect match for drivers and riders: Real-time Reinforcement Learning at Lyft
Online Optimization	The multi-vehicle inventory routing problem with online demands Improved Regret Bounds for Online Decisions on Network-based Resource Allocation Problems Formulation and ALNS for Online Dispatching and Rebalancing in First-mile Ride-sharing Problems
online vehicle routing	Hierarchical demand management decomposition for online vehicle routing problems
Optimization	On the Benefit of Combining Car Rental and Car Sharing Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules Rural Parcel Delivery by Drone Submodular Dispatching with Multiple Vehicles Staggered Routing in Autonomous Mobility-on-Demand Systems
optimization proxies	Learning-based Optimization for Tactical Load Plan Modification in Service Networks
Order Dispatching	Formulation and ALNS for Online Dispatching and Rebalancing in First-mile Ride-sharing Problems
Order Fulfillment	Dynamic Order Picking with Collaborative Robots in a Stochastic Retail Store
outlier score	The trade-off between optimization and adherence to standard practice: a data-driven approach
P
Pandemic Logistics	Vehicle Routing in Mass Testing Programs for Pandemic Mitigation
Parcel delivery	Dynamic parcel routing in hyper-connected networks
Parcel Locker	Demand Management for Parcel Lockers
Parcel lockers	Dynamic Selection and Pricing of Out of Home Delivery
pareto curve	The trade-off between optimization and adherence to standard practice: a data-driven approach
Pareto front approximation	Learning and Predicting Pareto Fronts of Multi-criteria Itineraries
park-and-loop	Solving the Technician Park-and-loop Routing Problem by Branch-price-and-cut
Parking	Optimal Parking Strategies for Last-Mile Delivery
Parking management	Modeling Multi-modal Curbside Usage in Dynamic Networks
partial deliveries	Fair stochastic vehicle routing with partial deliveries
Passenger alighting and boarding process	Optimal on- and off-boarding operations in urban mass transit
Passenger alighting and boarding rates	Optimal on- and off-boarding operations in urban mass transit
Passenger flow between platform and vehicle	Optimal on- and off-boarding operations in urban mass transit
Passenger guidance systems	Optimal on- and off-boarding operations in urban mass transit
Path Planning	Unmanned Aerial Vehicle Routing: A Quantum Computing Approach
Periodic timetabling	Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
Periodic VRP	Vehicle Routing in Mass Testing Programs for Pandemic Mitigation
Perishable products	Dynamic Collection of Geographically Dispersed Perishable Products
Personalized choice	Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized)
personnel planning	Attendance Rate Policies for Personnel in Passenger Rail Transport
physical internet	Dynamic parcel routing in hyper-connected networks Rivers, trees, hubs and stopovers
Physics Informed Regularization	Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
Pick-up and Delivery	A Column Generation Approach for Public Transit Enhanced Robotic Delivery Services
pick-up and drop-off	Modeling Multi-modal Curbside Usage in Dynamic Networks
pickup and delivery	Consistent Routing for Local Same-Day Delivery via Micro-Hubs
Pickup and delivery problem with time windows	Rolling Horizon Framework for the Offline Pickup and Delivery Problem with Time Windows
Pickup-and-Delivery Problem	The Dynamick Pickup-and-Delivery Problem for Local Platforms
platoon coordination	Why and How to Truck-Platooning in Mixed Traffic: A Stochastic Variational Inequality Approach
Pod	An Autonomous Modular Public Transit Service
Port Logistics	The Continuous Dual Cycling Problem in Roll-on Roll-off Terminals
Prediction	Learning and Predicting Pareto Fronts of Multi-criteria Itineraries
Predictive Cut	Dynamic Programming with Predictive Cuts for Cooperative Connected and Autonomous Vehicle Scheduling based on Markov Decision Process
Pricing	On the Benefit of Combining Car Rental and Car Sharing Customer Satisfaction and Differentiated Pricing in E-Retail Delivery Cycle-based Service Network Design and Pricing based on Mode Choice Behavior
pricing problem	Solving the Technician Park-and-loop Routing Problem by Branch-price-and-cut
pricing zone	Optimal carsharing service region partition for profit maximization
prize-collecting vehicle routing problem	Two-Echelon Prize-Collecting Vehicle Routing with Time Windows and Vehicle Synchronization: A Branch-and-Price Approach
Prize-collection problems	Using Prize-Collection Concepts to Solve Time-Limited Search Problems
probabilistic repositioning	Heatmap design for probabilistic driver repositioning in crowdsourced delivery
Production Routing Problem	A chance-constrained model for a Production Routing Problem with uncertain availability of vehicles A set partitioning-based heuristic for the production routing problem using different clustering methods
Production Scheduling	Integrated Production and Transportation Optimization with Blocking & Limited Intermediate Storage using Hybrid Genetric Search
progressive hedging method	An Integrated Learning and Progressive Hedging Matheuristic for Stochastic Network Design Problem
Progressive-hedging metaheuristic	The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT)
public policy	Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules Revisiting School District Design: A Stream-based Approach
Public Transit	Learning dual inequalities for column generation Designing Equitable Transit Networks
Public transport	Optimal on- and off-boarding operations in urban mass transit Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
public transportation	Optimizing First-Mile Ridesharing Services with Private Autonomous Cars Coordinating destroy-and-repair operators in large-scale ground-drone routing problems with public transportation
Public transports	Deep probabilistic forecasting of count data in multimodal transport systems
Q
Quantum Computing	Unmanned Aerial Vehicle Routing: A Quantum Computing Approach
R
rail operations	A Framework for Locating and Sizing Service Facilities on Networks to Support Decarbonization of Transportation
railway operations	Attendance Rate Policies for Personnel in Passenger Rail Transport
railway rolling stock	Railway Rolling Stock Optimization with Maintenance Paths
Railways	Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
Rate-based model	Rate-based Vehicle Routing Problem for Delivery in Densely Populated Urban Areas
Real-time information	The multi-vehicle inventory routing problem with online demands Subscription Models for Differential Access to Real-time Information
Rebalancing	Formulation and ALNS for Online Dispatching and Rebalancing in First-mile Ride-sharing Problems
recharge battery problem	Planning drone delivery operations under uncertainty in service demand and energy consumption
refueling infrastructure	Location-Routing Problem for Emergency Refueling Station Deployment to Support Alternative Fuel Vehicles Evacuation
Regret	Online Learning for Traffic Routing under Unknown Preferences
regret bounds	Improved Regret Bounds for Online Decisions on Network-based Resource Allocation Problems
Reinforcement Learning	Paratransit Routing Considering Dwell Time Uncertainty and Contexts of Requests The perfect match for drivers and riders: Real-time Reinforcement Learning at Lyft Reinforcement Learning for Dynamic Transportation Problems Synchromodal transport re-planning under service time uncertainty: An online reinforcement learning approach The Restaurant Meal Delivery Problem with Ghost Kitchens
relay logistics	Relay logistics: a column-set-generation approach
Relay-Transportation	Hyperconnected Relay-Hub Network Design for Consolidation Planning Under Demand Variability
rental electric vehicle	Dynamic Crowdsourced Delivery with Rental Electric Vehicles
Replenishment
Resource Allocation	On the Challenge of Maintaining Equity and Effectiveness over Multiple Periods
rest area/truck stop	Long-haul Electric Truck Routing and Driver Scheduling with Coordinated Charging Scheduling
Restaurant industry	Dine in or Take out? Trends on Restaurant Service Demand amid the COVID-19 Pandemic
Restaurant meal delivery	The Restaurant Meal Delivery Problem with Ghost Kitchens
Ride sourcing	Threshold-Based Incentives for Ride-Sourcing Drivers: Implications on Supply Management and Welfare Effects
Ride-hailing	Dynamic Priority Rules for Combining On-Demand Passenger Transportation and Transportation of Goods
Rider preferences	Integrating Riders’ Preferences in a Bicycle-Based Courier Service
Ridesharing	The perfect match for drivers and riders: Real-time Reinforcement Learning at Lyft Data-driven hub network design for ridesharing
Road network	Integrating Riders’ Preferences in a Bicycle-Based Courier Service
Road Tolling	Online Learning for Traffic Routing under Unknown Preferences
Robots-as-a-Service	Demand-Responsive Microtransit: Design and Operations
Robust Optimisation	Robust Airline Fleet and Crew Scheduling: Mathematical Modelling and a Matheuristic Approach
robust optimization	A New Robust Optimization Method for Service Network Design under Travel Time Uncertainty
Roll-on Roll-off	The Continuous Dual Cycling Problem in Roll-on Roll-off Terminals
rolling horizon	Dynamic Service Network Design Problem
Rolling horizon framework	Rolling Horizon Framework for the Offline Pickup and Delivery Problem with Time Windows
Routing	Location-Routing Problem for Emergency Refueling Station Deployment to Support Alternative Fuel Vehicles Evacuation Dynamic Priority Rules for Combining On-Demand Passenger Transportation and Transportation of Goods Multi-Product Multi-Warehouse Delivery Problem under Inventory Constraints An inventory routing problem in a city logistics context Staggered Routing in Autonomous Mobility-on-Demand Systems
routing consistency	Consistent Routing for Local Same-Day Delivery via Micro-Hubs
routing models	Micro Consolidation Centres with cross-docking favoring cargo bike distribution in small city freight logistics
row-and-column generation	Demand-Responsive Microtransit: Design and Operations
Rural last-mile delivery	Rural Parcel Delivery by Drone
S
same-day deliveries	Service Network Design of Freight on Transit Operations for Same-Day Delivery
Same-Day Delivery	Consistent Routing for Local Same-Day Delivery via Micro-Hubs Submodular Dispatching with Multiple Vehicles
Sampling	Data-driven Customer Acceptance for Attended Home Delivery
Scheduled service network design	Exact solution methods for an integrated multi-stakeholder freight transportation system with stochastic demand
Scheduled Service Network Design Problem	New Formulations for the Scheduled Service Network Design Problem
Scheduling	Jam in the tunnel: On urban freight tunnels, their operational scheduling, and unused transport capacity The Technician Routing and Scheduling Problem for a Sharing Economy Staggered Routing in Autonomous Mobility-on-Demand Systems
school bus routing	Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
school district design	Revisiting School District Design: A Stream-based Approach
school redistricting	Revisiting School District Design: A Stream-based Approach
Semi-flexible transit	A Branch-and-Price approach for the Stochastic Selective TSP with Generalized Latency
Semi-flexible transit system	Modeling a Semi-Flexible Transit System: A Markovian Continuous Approximation Approach
Sensors	Optimizing Potential Information Gain from Satellites over Space and Time for Multi-INT Fusion
Sequential decision process	Dynamic Time Window Assignment for Next-Day Service Routing
service network design	Service Network Design with Hub Constraints Cycle-based Service Network Design and Pricing based on Mode Choice Behavior Service Network Design of Freight on Transit Operations for Same-Day Delivery A New Robust Optimization Method for Service Network Design under Travel Time Uncertainty The Service Network Design Problem with Fleet and Emissions Management Dynamic Service Network Design Problem Middle-Mile Consolidation Network Design: Maximizing Profit through Flexible Lead Times
set improvement neighborhood search	Last-mile delivery with robots: a multi-vehicle routing approach
shared mobility service	Rebalancing an E-scooter Sharing System with En Route Charging Capability
Shared transport	Integrating Multi-Depot Freight Transport in Public Transport
shipment consolidation	Learning-based Optimization for Tactical Load Plan Modification in Service Networks
Simulation Optimization	A Simulation-optimization Framework for the Dynamic Dispatch Wave Problem with Time Windows
simulator	Mixed Information Routing Framework Using Competing Equilibrium Strategy
Small city logistics	Micro Consolidation Centres with cross-docking favoring cargo bike distribution in small city freight logistics Estimating the impacts of freight transport regulations in logistically complicated small cities
Smart city logistics	Jam in the tunnel: On urban freight tunnels, their operational scheduling, and unused transport capacity
Space allocation	Modeling Multi-modal Curbside Usage in Dynamic Networks
split delivery	The Commodity Constrained Split Delivery Vehicle Routing Problem with Temperature Requirements
Stability	Collaborative Berth Allocation with Row Generation Methods for the Core and Nucleolus
Stable Matchings	Almost Stable Matchings for a Truck Platooning System with Role Specification
Stackelberg game	Exploiting modularity in co-modal passenger-freight transportation: a market-driven approach
statistical learning	Arc travel time and path choice model estimation subsumed
Stochastic demand	A Covering Model for Multi-Period Mobile Facility Location Exact solution methods for an integrated multi-stakeholder freight transportation system with stochastic demand
stochastic dynamic decision making	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
Stochastic Dynamic Decision Problems	Reinforcement Learning for Dynamic Transportation Problems
Stochastic dynamic vehicle routing	Demand and Capacity Management in a Stochastic Dynamic Pickup-and-Delivery Problem Dynamic Priority Rules for Combining On-Demand Passenger Transportation and Transportation of Goods
stochastic energy consumption	Planning drone delivery operations under uncertainty in service demand and energy consumption
stochastic inventory routing	Cyclic Stochastic Inventory Routing and Inventory Control Policy Optimization for Medical Supply
Stochastic lookahead
Stochastic optimization	The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT) Probabilistic Shortest Electric Vehicle Paths
Stochastic requests	Dynamic Time Window Assignment for Next-Day Service Routing
stochastic variational inequality	Why and How to Truck-Platooning in Mixed Traffic: A Stochastic Variational Inequality Approach
stochastic vehicle routing	Fair stochastic vehicle routing with partial deliveries
structured learning	Machine Learning based Combinatorial Optimization to solve the dynamic VRPTW
Subscription Services	Subscription Models for Differential Access to Real-time Information
Supply management	Threshold-Based Incentives for Ride-Sourcing Drivers: Implications on Supply Management and Welfare Effects
sustainable operations	Relay logistics: a column-set-generation approach
synchromodal transport	Synchromodal transport re-planning under service time uncertainty: An online reinforcement learning approach
Synchronization	The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT)
System Efficiency	Online Learning for Traffic Routing under Unknown Preferences
System Optimal	A Linear Programming Model for System Optimal Dynamic Traffic Assignment in Link- and Region-based Traffic Networks
System optimum assignment (SOA)
T
Tactical planning	Green Tactical Fleet-Sizing Decisions for Last-Mile Delivery Systems Rate-based Vehicle Routing Problem for Delivery in Densely Populated Urban Areas Exact solution methods for an integrated multi-stakeholder freight transportation system with stochastic demand
technician routing problem	The Technician Routing and Scheduling Problem for a Sharing Economy
temperature requirements	The Commodity Constrained Split Delivery Vehicle Routing Problem with Temperature Requirements
Template based ALNS	Vehicle Routing in Mass Testing Programs for Pandemic Mitigation
Temporal decomposition	Rolling Horizon Framework for the Offline Pickup and Delivery Problem with Time Windows
Time window assignment	Scenario-Clustered Benders Dual Decomposition for the Time Window Assignment Routing Problem
Time Windows	Dynamic Discretization Discovery for the Multi-Depot Vehicle Scheduling Problem with Trip Shifting
Time-dependent two-echelon location-routing	The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT)
Time-limited search problems	Using Prize-Collection Concepts to Solve Time-Limited Search Problems
time-space networks	Relay logistics: a column-set-generation approach
Timetabling	Dynamic Discretization Discovery for the Multi-Depot Vehicle Scheduling Problem with Trip Shifting
Traffic Assignment	Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
traffic demand management	CARMA: Fair and efficient bottleneck congestion management with non-tradable credits
traffic prediction	Arc travel time and path choice model estimation subsumed
Traffic Routing	Online Learning for Traffic Routing under Unknown Preferences Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
Traffic State Prediction	Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction
Transfers	A Column Generation Approach to the Crowd-Shipping Problem with Transfers
Transit Center Network
Transmodeler	Mixed Information Routing Framework Using Competing Equilibrium Strategy
Transportation	The perfect match for drivers and riders: Real-time Reinforcement Learning at Lyft The multi-attribute two-echelon location-routing problem with stochastic travel times (MA-2ELRPSTT) Fewer Trains for Better Timetables, the Price of Fixed Line Frequencies in the Passenger Oriented Timetabling Problem
Transportation Equity	Designing Equitable Transit Networks
Transportation problem	A Cutting-Plane Based Approach for Fixed Charge Transportation Problem
Transshipment terminals	Vehicle sequencing at transshipment terminals with handover relations
Travel behavior	Estimating Airport Leakage with Connected and Automated Vehicle Adoption
travel time estimation	Arc travel time and path choice model estimation subsumed
travel time uncertainty	A New Robust Optimization Method for Service Network Design under Travel Time Uncertainty
Travel-time variability	Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized)
Traveler analytics	Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
traveling repairman problem	The k Traveling Repairman Problem with Stochastic Service Request Times (kTRP-S)
traveling salesman problem	A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
Traveling Salesperson Problem	Learning Drivers’ Preferences in Delivery Route Planning: an Inverse Optimization Approach A Branch-and-Price approach for the Stochastic Selective TSP with Generalized Latency
Tree-boosted Mixed Effects Model	Determining Commuting Behavioral Patterns of Public Transport Users: a Tree-Boosted Mixed Effects Model
trees	Rivers, trees, hubs and stopovers
truck platooning	Why and How to Truck-Platooning in Mixed Traffic: A Stochastic Variational Inequality Approach Almost Stable Matchings for a Truck Platooning System with Role Specification
Truckload	Fleet Composition Optimization with Truckload and Less-Than-Truckload Shipping Options
two-echelon vehicle routing problem with time windows	Two-Echelon Prize-Collecting Vehicle Routing with Time Windows and Vehicle Synchronization: A Branch-and-Price Approach
two-stage formulation	An Integrated Learning and Progressive Hedging Matheuristic for Stochastic Network Design Problem
two-stage stochastic program	Cyclic Stochastic Inventory Routing and Inventory Control Policy Optimization for Medical Supply
two-stage stochastic programming	Consistent Routing for Local Same-Day Delivery via Micro-Hubs
U
uncertain multicommodity demand	An Integrated Learning and Progressive Hedging Matheuristic for Stochastic Network Design Problem
uncertain travel times	Data-driven Approaches for the Feature-based Vehicle Routing Problem with Time Windows
uncertainty	Dynamic Crowdsourced Delivery with Rental Electric Vehicles A chance-constrained model for a Production Routing Problem with uncertain availability of vehicles Stochastic Scheduled Service Network Design: the Value of Flexible Schedules Synchromodal transport re-planning under service time uncertainty: An online reinforcement learning approach
Uncrewed Aerial Vehicles	Multi-modal multi-echelon logistics optimisation planning for medical interchanges in the Solent region of the UK using drones, cargo bikes, and vans
Underground Freight Transportation	Underground Freight Transportation for Last Mile Delivery in Urban Environments
unexpected event	Synchromodal transport re-planning under service time uncertainty: An online reinforcement learning approach
Unmanned Aerial Vehicle	Unmanned Aerial Vehicle Routing: A Quantum Computing Approach
unsupervised machine learning	A scalable clustering-based heuristic for large-scale real-time vehicle routing problems
Urban	Underground Freight Transportation for Last Mile Delivery in Urban Environments
Urban delivery	Using a combination of Microhubs and Crowdshipping as an alternative for Urban Delivery systems
urban freight	Service Network Design of Freight on Transit Operations for Same-Day Delivery
urban logistics	Two-Echelon Prize-Collecting Vehicle Routing with Time Windows and Vehicle Synchronization: A Branch-and-Price Approach
Urban Mobility	On the Benefit of Combining Car Rental and Car Sharing
User Equilibrium	Online Learning for Traffic Routing under Unknown Preferences
V
Valid inequalities	A Cutting-Plane Based Approach for Fixed Charge Transportation Problem
variable neighborhood search	A Covering Model for Multi-Period Mobile Facility Location
vehicle repositioning	Heatmap-based Decision Support for Repositioning in Ride-Sharing Systems
vehicle routing	Service Network Design with Hub Constraints Last-mile delivery with robots: a multi-vehicle routing approach The Commodity Constrained Split Delivery Vehicle Routing Problem with Temperature Requirements Repair Crew Routing for Infrastructure Network Restoration Dynamic Selection and Pricing of Out of Home Delivery Paratransit Routing Considering Dwell Time Uncertainty and Contexts of Requests Integrated Production and Transportation Optimization with Blocking & Limited Intermediate Storage using Hybrid Genetric Search Last mile deliveries with some-day option for more sustainability in e-commerce Data-driven Approaches for the Feature-based Vehicle Routing Problem with Time Windows Scenario-Clustered Benders Dual Decomposition for the Time Window Assignment Routing Problem Solving Capacitated Multi-Trip Vehicle Routing Problem with Time Windows Anticipatory request acceptance in dynamic and collaborative vehicle routing Effective Auction-Based Request Exchange for Attended Home Deliveries A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone A Simulation-optimization Framework for the Dynamic Dispatch Wave Problem with Time Windows The Technician Routing and Scheduling Problem for a Sharing Economy The k Traveling Repairman Problem with Stochastic Service Request Times (kTRP-S) A Covering Model for Multi-Period Mobile Facility Location The trade-off between optimization and adherence to standard practice: a data-driven approach
vehicle routing and scheduling	Demand-Responsive Microtransit: Design and Operations
Vehicle routing models	Estimating the impacts of freight transport regulations in logistically complicated small cities
vehicle routing problem	Solving the Technician Park-and-loop Routing Problem by Branch-price-and-cut Integrating Riders’ Preferences in a Bicycle-Based Courier Service
Vehicle Routing Problem (VRP)	Customer Privacy in Vehicle Routing Problems Rate-based Vehicle Routing Problem for Delivery in Densely Populated Urban Areas
vehicle routing problem with drone	Rural Parcel Delivery by Drone
Vehicle Routing with Time Windows	Data-driven Customer Acceptance for Attended Home Delivery
Vehicle routing/scheduling	Learning dual inequalities for column generation
Vehicle Scheduling	Dynamic Discretization Discovery for the Multi-Depot Vehicle Scheduling Problem with Trip Shifting
Vehicle sequencing	Vehicle sequencing at transshipment terminals with handover relations
vehicle sharing	Mapping Street Networks with Autonomous Mobility-on-Demand Systems
vehicle synchronization	Two-Echelon Prize-Collecting Vehicle Routing with Time Windows and Vehicle Synchronization: A Branch-and-Price Approach
very large-scale vehicle routing problems	A scalable clustering-based heuristic for large-scale real-time vehicle routing problems
W
Welfare effects	Threshold-Based Incentives for Ride-Sourcing Drivers: Implications on Supply Management and Welfare Effects
workforce management	The Technician Routing and Scheduling Problem for a Sharing Economy

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