Transportation Science

Papers
(The median citation count of Transportation Science is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board108
2022 Transportation Science Meritorious Service Awards80
Editorial Board58
Fleet Sizing and Service Region Partitioning for Same-Day Delivery Systems53
Dynamic Confirmation, Compensation and Routing for Combined Urban Transportation of Passengers and Parcels53
A Combined Simulation-Optimization Approach for Robust Timetabling on Main Railway Lines49
Impact of Autonomous Vehicle Assisted Last-Mile Delivery in Urban to Rural Settings48
Arc Routing with Electric Vehicles: Dynamic Charging and Speed-Dependent Energy Consumption46
Transportation Origin-Destination Demand Estimation with Quasi-Sparsity45
Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Fleet Sizing, Routing, and Scheduling Problem45
Scenario Predict-then-Optimize for Data-Driven Online Inventory Routing44
On an Interlocking Flexible Car Use Restriction Policy: Theory, Learning and Experiment44
Exact Solution of the Vehicle Routing Problem with Drones41
Optimizing Warehouse Operations with Autonomous Mobile Robots38
Equilibrium Traffic Dynamics with Mixed Autonomous and Human-Driven Vehicles and Novel Traffic Management Policies: The Effects of Value-of-Time Compensation and Random Road Capacity37
Two-Step Quadratic Programming for Physically Meaningful Smoothing of Longitudinal Vehicle Trajectories36
The Electric Dial-a-Ride Problem on a Fixed Circuit36
Optimizing Sulfur Emission Control Areas for Shipping35
The Undirected Team Orienteering Arc Routing Problem: Formulations, Valid Inequalities, and Exact Algorithms34
Learning Dynamic Selection and Pricing of Out-of-Home Deliveries33
Bilevel Memetic Search Approach to the Soft-Clustered Vehicle Routing Problem33
Branch-and-Price for Drone Delivery Service Planning in Urban Airspace33
Integrated Optimization of Planning and Operations for Shared Autonomous Electric Vehicle Systems32
Designing the Liner Shipping Network of Tomorrow Powered by Alternative Fuels32
Two-Level Capacitated Discrete Location with Concave Costs29
Cross-Dock Trailer Scheduling with Workforce Constraints: A Dynamic Discretization Discovery Approach29
Deep Learning for Data-Driven Districting-and-Routing28
Piggyback on Idle Ride-Sourcing Drivers for Integrated On-Demand and Flexible Intracity Parcel Delivery Services28
Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework28
Editorial Board27
Special Issue on Emerging Topics in Transportation Science and Logistics27
Editorial Board27
An Exact Algorithm for the Vehicle Routing Problem with Time Windows and Perishable Products26
Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah26
Estimating Erratic Measurement Errors in Network-Wide Traffic Flow via Virtual Balance Sensors25
Transportation Science and Logistics Society Best Dissertation Award Competition: Abstracts of 2025 Winners24
The Impact of Optimized Fleets in Transportation Networks24
Primal-Dual Value Function Approximation for Stochastic Dynamic Intermodal Transportation with Eco-Labels23
Service Level Requirements for Real Life–Sized Bicycle Sharing Systems23
A Game-Theoretic Framework for Generic Second-Order Traffic Flow Models Using Mean Field Games and Adversarial Inverse Reinforcement Learning22
Inductive Transportation Origin-Destination Demand Forecasting via Bayesian Destination-Choice Modeling22
Unsupervised Learning-Driven Matheuristic for Production-Distribution Problems21
Optimal Service Time Windows21
A Branch-and-Price-and-Cut Algorithm for the Vehicle Routing Problem with Two-Dimensional Loading Constraints21
Enhancing Online Food Delivery with Transfer Points: A Data-Driven Decompose-Then-Optimize Approach21
How to Deploy Robotic Mobile Fulfillment Systems21
A New Simheuristic Approach for Stochastic Runway Scheduling21
A Data-Driven Approach for Baggage Handling Operations at Airports21
Liner Fleet Deployment and Speed Optimization Under Emission Reduction Technologies20
Modeling Multimodal Curbside Usage in Dynamic Networks20
Integrated Optimization of Transit Networks with Schedule- and Frequency-Based Services Subject to the Bounded Stochastic User Equilibrium20
Preface of ISTTT 25 Special Issue19
Editorial Board19
A Branch and Price Algorithm for the Heterogeneous Fleet Multi-Depot Multi-Trip Vehicle Routing Problem with Time Windows19
Reduce-then-Optimize for the Fixed-Charge Transportation Problem18
Understanding Origin-Destination Ride Demand with Interpretable and Scalable Nonnegative Tensor Decomposition18
Dual Bounds from Decision Diagram-Based Route Relaxations: An Application to Truck-Drone Routing18
Cross-Border Capacity Planning in Air Traffic Management Under Uncertainty18
From Corridor to Network Macroscopic Fundamental Diagrams: A Semi-Analytical Approximation Approach18
Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs17
Capturing Travel Mode Adoption in Designing On-Demand Multimodal Transit Systems17
Probabilistic Traffic Forecasting with Dynamic Regression17
Demand-Driven Hub Network Design Under Uncertainty for Less-Than-Truckload Carriers17
Distributionally Robust Fair Transit Resource Allocation During a Pandemic16
A Unified Branch-Price-and-Cut Algorithm for Multicompartment Pickup and Delivery Problems16
Parking Search in the Physical World: Calculating the Search Time by Leveraging Physical and Graph Theoretical Methods16
Editorial Board16
Data-Driven Policies for the Online Ride-Hailing Problem with Fairness16
Passenger-Centric Integrated Airline Schedule and Aircraft Recovery16
Traffic Dynamics of Vehicles Passing Each Other on Bidirectional Undivided Narrow Roads16
Passenger-Centric Slot Allocation at Schedule-Coordinated Airports15
Machine Learning–Based Feasibility Checks for Dynamic Time Slot Management15
Multi-Period Workload Balancing in Last-Mile Urban Delivery15
Perturbed Utility Stochastic Traffic Assignment15
Editorial Board15
Editorial Board15
Facility Location Problem: Modeling Joint Disruptions Using Subordination15
Generalized Riskiness Index in Vehicle Routing Under Uncertain Travel Times: Formulations, Properties, and Exact Solution Framework15
Editorial Board14
Picking the Best Bot: Collaboration Strategies for Humans and Bots in Order Pick Systems with Traveling Salesman Problem Routing14
Dynamic Home Care Routing and Scheduling with Uncertain Number of Visits per Referral14
Data-Driven Optimization for Meal Delivery: A Reinforcement Learning Approach for Order-Courier Assignment and Routing at Meituan14
Equilibrium Analysis of Full-Day Commuting with Telecommuting and Autonomous Vehicles14
The k -Traveling Repairman Problem with Stochastic Service Request Times14
A 0,1 Linear Programming Approach to Deadlock Detection and Management in Railways14
Heatmap-Based Decision Support for Repositioning in Ride-Sharing Systems14
Uncertainty Estimation of Connected Vehicle Penetration Rate13
Branch-Price-and-Cut-Based Solution of Order Batching Problems13
Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations13
Neural Network Estimators for Optimal Tour Lengths of Traveling Salesperson Problem Instances with Arbitrary Node Distributions13
Exact Two-Step Benders Decomposition for the Time Window Assignment Traveling Salesperson Problem13
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-Offs: A Causal Inference Approach13
Large-Scale Airline Crew Recovery Using Mixed-Integer Optimization and Supervised Machine Learning13
Heatmap Design for Probabilistic Driver Repositioning in Crowdsourced Delivery13
Optimal Multi-Agent Pickup and Delivery Using Branch-and-Cut-and-Price Algorithms13
Simulation-Based Robust and Adaptive Optimization Method for Heteroscedastic Transportation Problems13
On Airport Time Slot Auctions: A Market Design Complying with the IATA Scheduling Guidelines12
A Paradox of Telecommuting and Staggered Work Hours in the Bottleneck Model12
Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets12
How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model12
Editorial Board12
Social Optimum in the Basic Bathtub Model12
Hypercongestion, Autonomous Vehicles, and Urban Spatial Structure12
Acknowledgment to Referees (2023)12
Differentiated Pricing of Shared Mobility Systems Considering Network Effects12
Planning Service Protocols for Extra-Long Trains with Transfers11
Using Multiple Biased Data Sets to Recover Missing Trips with a Behaviorally Informed Model11
2024 Transportation Science Meritorious Service Awards11
Analysis and Design of Rack-Climbing Robotic Storage and Retrieval Systems11
A Self-Adaptive Monte Carlo Tree Search Algorithm for Generalized Quay Crane Scheduling Problem11
Editorial Board11
The Restaurant Meal Delivery Problem with Ghost Kitchens11
On the Value of Dynamism in Transit Networks10
Transportation Asset Acquisition under a Newsvendor Model with Cutting-Stock Restrictions: Approximation and Decomposition Algorithms10
A Real-Time Control Policy to Achieve Maximum Throughput of an Online Order Fulfillment Network10
Optimal Retrieval in Puzzle-Based Storage Systems Using Automated Mobile Robots10
Short-Term Rolling Stock Scheduling and Platform Assignment: A Branch-and-Check Method10
E-Commerce Middle-Mile Network Design with Delivery Speed Choices and Service Level Constraints10
Effects of Air Quality on Housing Location: A Predictive Dynamic Continuum User-Optimal Approach10
On-Demand Meal Delivery: A Markov Model for Circulating Couriers10
Optimal Driving Strategies for a Fleet of Trains on Level Track with Prescribed Intermediate Signal Times and Safe Separation10
Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach10
Editorial Board9
Editorial Board9
Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games9
Dynamic Courier Capacity Acquisition in Rapid Delivery Systems: A Deep Q-Learning Approach9
Cognitive Hierarchy in Day-to-Day Network Flow Dynamics9
Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed Autonomy9
Editorial Statement9
Empowering the Capillary of the Urban Daily Commute: Battery Deployment Analysis for the Locker-Based E-bike Battery Swapping9
Efficient Algorithms for Stochastic Ride-Pooling Assignment with Mixed Fleets9
Pricing and Demand Management for Integrated Same-Day and Next-Day Delivery Systems9
Intermodal Hub Network Design with Probabilistic Service-Level Constraints9
Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency9
A New Family of Route Formulations for Split Delivery Vehicle Routing Problems9
A Two-Stage Iteration Method for Solving the Departure Time Choice Problem8
Physics-Informed Machine Learning for Calibrating Macroscopic Traffic Flow Models8
Scenario-Guided Large Neighborhood Search for Integrated Transportation of Goods and Passengers via Ferries8
Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization8
Customer-Centric Dynamic Pricing for Free-Floating Vehicle Sharing Systems8
Digging Deep: Finding and Maximizing the Throughput Capacity of Multideep Storage Systems8
Erratum: “Branch and Price for the Time-Dependent Vehicle Routing Problem with Time Windows”8
Branch-Price-and-Cut for the Electric Vehicle Routing Problem with Heterogeneous Recharging Technologies and Nonlinear Recharging Functions8
The Traveling Salesman Problem with Stochastic and Correlated Customers8
Stochastic Cyclic Inventory Routing with Supply Uncertainty: A Case in Green-Hydrogen Logistics8
Editorial Board8
The Dynamic Freight Routing Problem for Less-Than-Truckload Carriers7
Time-Phased Relief Supply Network Planning for Foreseen Disasters7
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems7
Dispatching and Pricing in Two-Sided Spatial Queues7
Undiscounted Recursive Path Choice Models: Convergence Properties and Algorithms7
Peer-to-Peer Crowdshipping as an Omnichannel Retail Strategy7
Modeling and Solving Line Planning with Mode Choice7
Integrated Planning of Supply and Inventory Under Seasonal Demand Uncertainty7
Simultaneous Multimodal Demand Imputation and Forecasting via Graph-Guided Generative and Adversarial Network7
2021 Amazon Last Mile Routing Research Challenge: Data Set7
Solving a Continent-Scale Inventory Routing Problem at Renault7
A Multiperiod, Multicommodity, Capacitated International Agricultural Trade Network Equilibrium Model with Applications to Ukraine in Wartime6
A Bilevel Model for Robust Network Design and Biomass Pricing Under Farmers’ Risk Attitudes and Supply Uncertainty6
2025 Transportation Science Meritorious Service Awards6
Inverse Optimization for Routing Problems6
Managing Driving Modes in Automated Driving Systems6
Multimodal Transportation Pricing Alliance Design: Large-Scale Optimization for Rapid Gains6
Dynamic Operations of a Mobile Charging Crowdsourcing Platform6
On the Efficiency Impacts of Berthing Priority Provision6
Microscopic Traffic Modeling Inside Intersections: Interactions Between Drivers6
In Memoriam: Bernard Gendron,1966–20226
Service Network Design for Same-Day Delivery with Hub Capacity Constraints6
Outbound Load Planning in Parcel Delivery Service Networks Using Machine Learning and Optimization6
Dynamic Facility Location Under Cumulative Customer Demand6
Editorial Board6
A Day-to-Day Dynamical Approach to the Most Likely User Equilibrium Problem6
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