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ORCIDTransportation Science, Volume 59
Volume 59, Number 1, 2025
- Karen R. Smilowitz:
Editorial Statement. 1-2 - Editorial Board. 2-
- 2024 Transportation Science Meritorious Service Awards. 3-4
Volume 59, Number 2, 2025
- Sibel A. Alumur
, Mike Hewitt:
Special Issue on TSL Conference 2023. 207-209 - Sifa Çelik, Layla Martin, Albert H. Schrotenboer, Tom Van Woensel:
Exact Two-Step Benders Decomposition for the Time Window Assignment Traveling Salesperson Problem. 210-228 - Benedikt Lienkamp, Mike Hewitt, Maximilian Schiffer:
Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency. 229-249 - Fabian Akkerman, Peter Dieter, Martijn Mes:
Learning Dynamic Selection and Pricing of Out-of-Home Deliveries. 250-278 - Dipayan Banerjee, Alan L. Erera, Alejandro Toriello:
Pricing and Demand Management for Integrated Same-Day and Next-Day Delivery Systems. 279-300 - Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy:
Inverse Optimization for Routing Problems. 301-321 - Abhay Sobhanan, Junyoung Park, Jinkyoo Park, Changhyun Kwon:
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems. 322-339 - Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli, Florian Dörfler:
CARMA: Fair and Efficient Bottleneck Congestion Management via Nontradable Karma Credits. 340-359 - R. M. van Steenbergen, Wouter J. A. van Heeswijk, Martijn R. K. Mes:
The Stochastic Dynamic Postdisaster Inventory Allocation Problem with Trucks and UAVs. 360-390 - Mikkel Lassen Johansen, Klaus Kähler Holst, Stefan Ropke:
Designing the Liner Shipping Network of Tomorrow Powered by Alternative Fuels. 391-412 - Minghui Wu, Yafeng Yin, Jerome P. Lynch:
Multiday User Equilibrium with Strategic Commuters. 413-432 - Gal Neria, Florentin D. Hildebrandt, Michal Tzur, Marlin W. Ulmer:
The Restaurant Meal Delivery Problem with Ghost Kitchens. 433-450
Volume 59, Number 3, 2025
- Kayla S. Cummings, Vikrant Vaze, Özlem Ergun, Cynthia Barnhart:
Multimodal Transportation Pricing Alliance Design: Large-Scale Optimization for Rapid Gains. 451-472 - Ho-Yin Mak:
Peer-to-Peer Crowdshipping as an Omnichannel Retail Strategy. 473-493 - Yang Liu, Sen Li:
Piggyback on Idle Ride-Sourcing Drivers for Integrated On-Demand and Flexible Intracity Parcel Delivery Services. 494-517 - Mario José Basallo-Triana, Jean-François Cordeau, Navneet Vidyarthi:
Intermodal Hub Network Design with Probabilistic Service-Level Constraints. 518-539 - Caroline Spieckermann, Stefan Minner, Maximilian Schiffer:
Reduce-then-Optimize for the Fixed-Charge Transportation Problem. 540-564 - Ren-Yong Guo, Hai Yang, Hai-Jun Huang:
A Two-Stage Iteration Method for Solving the Departure Time Choice Problem. 565-586 - Maik Schälicke, Karl Nachtigall:
Solving the Real-Time Train Dispatching Problem by Column Generation. 587-602 - Yuan Fang, René de Koster, Debjit Roy, Yugang Yu:
Dynamic Robot Routing and Destination Assignment Policies for Robotic Sorting Systems. 603-627 - Gaute Messel Nafstad, Guy Desaulniers, Magnus Stålhane:
Branch-Price-and-Cut for the Electric Vehicle Routing Problem with Heterogeneous Recharging Technologies and Nonlinear Recharging Functions. 628-646 - Shachaf Ben-Gal, Michal Tzur:
Data-Driven Policies for the Online Ride-Hailing Problem with Fairness. 647-669
Volume 59, Number 4, 2025
- Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun:
Probabilistic Traffic Forecasting with Dynamic Regression. 689-707 - Seongjin Choi, Nicolas Saunier, Vincent Zhihao Zheng, Martin Trépanier, Lijun Sun:
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. 708-720 - Zhenjie Zheng, Zhengli Wang, Hao Fu, Wei Ma:
Estimating Erratic Measurement Errors in Network-Wide Traffic Flow via Virtual Balance Sensors. 721-742 - Xiangyang Guan, Shuai Huang, Cynthia Chen:
Using Multiple Biased Data Sets to Recover Missing Trips with a Behaviorally Informed Model. 743-762 - Can Li, Wei Liu, Wanjing Ma, Hai Yang:
Simultaneous Multimodal Demand Imputation and Forecasting via Graph-Guided Generative and Adversarial Network. 763-781 - Zhaobin Mo, Haotian Xiang, Xuan Di:
diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. 782-801 - Kejun Du, Enoch Lee, Qiru Ma, Zhiya Su, Shuyang Zhang, Hong K. Lo:
Modeling Metro Passenger Routing Choices with a Fully Differentiable End-to-End Simulation-Based Optimization (SBO) Approach. 802-822 - Haicheng Liao, Zhenning Li, Guohui Zhang, Keqiang Li, Cheng-Zhong Xu:
Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. 823-852 - Zhichen Liu, Yafeng Yin:
End-to-End Learning of User Equilibrium: Expressivity, Generalization, and Optimization. 853-882 - Xuan Di, Sean Qian, Carolina Osorio:
Special Issue on Machine Learning Methods for Urban Passenger Mobility. iii-vi
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