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Capacitated transit service network design with boundedly rational agents

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Cited by:

  1. Qu, Kai & Fan, Xiangyi & Xu, Xiangdong & Hanasusanto, Grani A. & Chen, Anthony, 2025. "Improving transportation network redundancy under uncertain disruptions via retrofitting critical components," Transportation Research Part B: Methodological, Elsevier, vol. 194(C).
  2. Li, Wenjie & Yang, Lixing & Wang, Li & Zhou, Xuesong & Liu, Ronghui & Gao, Ziyou, 2017. "Eco-reliable path finding in time-variant and stochastic networks," Energy, Elsevier, vol. 121(C), pages 372-387.
  3. Chu, James C., 2018. "Mixed-integer programming model and branch-and-price-and-cut algorithm for urban bus network design and timetabling," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 188-216.
  4. Wu, Xin (Bruce) & Lu, Jiawei & Wu, Shengnan & Zhou, Xuesong (Simon), 2021. "Synchronizing time-dependent transportation services: Reformulation and solution algorithm using quadratic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 140-179.
  5. Binder, Stefan & Maknoon, Yousef & Bierlaire, Michel, 2017. "Exogenous priority rules for the capacitated passenger assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 19-42.
  6. Liang, Jinpeng & Wu, Jianjun & Gao, Ziyou & Sun, Huijun & Yang, Xin & Lo, Hong K., 2019. "Bus transit network design with uncertainties on the basis of a metro network: A two-step model framework," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 115-138.
  7. Di, Zhen & Yang, Lixing & Qi, Jianguo & Gao, Ziyou, 2018. "Transportation network design for maximizing flow-based accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 209-238.
  8. Zhang, Yongxiang & Peng, Qiyuan & Yao, Yu & Zhang, Xin & Zhou, Xuesong, 2019. "Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 344-379.
  9. Yang, Lixing & Zhou, Xuesong, 2017. "Optimizing on-time arrival probability and percentile travel time for elementary path finding in time-dependent transportation networks: Linear mixed integer programming reformulations," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 68-91.
  10. Zhuo, Siyu & Zhu, Xiaoning & Shang, Pan & Liu, Zhengke & Yao, Yu & Liao, Feixiong, 2024. "Behavior-Adaptive Sync-Flow Framework: Integrating frequency setting and passenger routing in oversaturated urban rail transit networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  11. Shang, Pan & Xiong, Yufan & Guo, Jifu & Xian, Kai & Yu, Yun & Xu, Han, 2024. "A modeling framework to integrate frequency - and schedule-based passenger assignment approaches for coordinated path choice and space-time trajectory estimation based on multi-source observations," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
  12. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
  13. Feng, Tao & Lusby, Richard M. & Zhang, Yongxiang & Peng, Qiyuan, 2024. "Integrating train service route design with passenger flow allocation for an urban rail transit line," European Journal of Operational Research, Elsevier, vol. 313(1), pages 146-170.
  14. Wu, Xin & Wang, Xinyu & Kim, Taehooie & Saleh, Khaled & Fu, Huiling & Xiong, Chenfeng, 2025. "Simultaneous estimation of induced, diverted, and ex-post demand for railway passengers: an interpretable machine learning framework based on constrained computational graphs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  15. Chen, Jingxu & Wang, Shuaian & Liu, Zhiyuan & Guo, Yanyong, 2018. "Network-based optimization modeling of manhole setting for pipeline transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 38-55.
  16. Huang, Yiduo MSc & Shen, Zuo-Jun PhD, 2022. "How to Evaluate and Minimize the Risk of COVID-19 Transmission within Public Transportation Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6nm587mj, Institute of Transportation Studies, UC Berkeley.
  17. Ni, Ying & Li, Yixin & Yuan, Yufei & Sun, Jian, 2023. "An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
  18. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
  19. Liu, Jiangtao & Zhou, Xuesong, 2019. "Observability quantification of public transportation systems with heterogeneous data sources: An information-space projection approach based on discretized space-time network flow models," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 302-323.
  20. Zhao, Meng & Li, Xiaopeng & Yin, Jiateng & Cui, Jianxun & Yang, Lixing & An, Shi, 2018. "An integrated framework for electric vehicle rebalancing and staff relocation in one-way carsharing systems: Model formulation and Lagrangian relaxation-based solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 542-572.
  21. Wei, Tangjian & Batley, Richard & Liu, Ronghui & Xu, Guangming & Tang, Yili, 2024. "A method of time-varying demand distribution estimation for high-speed railway networks with user equilibrium model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  22. Li, Qing & Liao, Feixiong, 2020. "Incorporating vehicle self-relocations and traveler activity chains in a bi-level model of optimal deployment of shared autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 151-175.
  23. Luetian Sun & Rui Song, 2022. "Improving Efficiency in Congested Traffic Networks: Pareto-Improving Reservations through Agent-Based Timetabling," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
  24. Kinene, Alan & Birolini, Sebastian, 2024. "Optimization of subsidized air transport networks using electric aircraft," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
  25. Pan Shang & Yu Yao & Liya Yang & Lingyun Meng & Pengli Mo, 2021. "Integrated Model for Timetabling and Circulation Planning on an Urban Rail Transit Line: a Coupled Network-Based Flow Formulation," Networks and Spatial Economics, Springer, vol. 21(2), pages 331-364, June.
  26. Yin, Jiateng & Yang, Lixing & Tang, Tao & Gao, Ziyou & Ran, Bin, 2017. "Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 182-213.
  27. Ruihong Huang, 2019. "Simulating individual work trips for transit-facilitated accessibility study," Environment and Planning B, , vol. 46(1), pages 84-102, January.
  28. Wu, Xin & Nie, Lei & Xu, Meng & Zhao, Lili, 2019. "Distribution planning problem for a high-speed rail catering service considering time-varying demands and pedestrian congestion: A lot-sizing-based model and decomposition algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 61-89.
  29. Shang, Pan & Li, Ruimin & Guo, Jifu & Xian, Kai & Zhou, Xuesong, 2019. "Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 135-167.
  30. Wei, Yuguang & Avcı, Cafer & Liu, Jiangtao & Belezamo, Baloka & Aydın, Nizamettin & Li, Pengfei(Taylor) & Zhou, Xuesong, 2017. "Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 102-129.
  31. Meng, Lingyun & Zhou, Xuesong, 2019. "An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 1-28.
  32. Dimitris Bertsimas & Julia Yan, 2018. "From Physical Properties of Transportation Flows to Demand Estimation: An Optimization Approach," Transportation Science, INFORMS, vol. 52(4), pages 1002-1011, August.
  33. Zhou, Yu & Wang, Yun & Yang, Hai & Yan, Xuedong, 2019. "Last train scheduling for maximizing passenger destination reachability in urban rail transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 79-95.
  34. Yiduo Huang & Zuojun Max Shen, 2021. "Optimizing timetable and network reopen plans for public transportation networks during a COVID19-like pandemic," Papers 2109.03940, arXiv.org.
  35. Qinghui Xu & Xiangfeng Ji, 2020. "User Equilibrium Analysis Considering Travelers’ Context-Dependent Route Choice Behavior on the Risky Traffic Network," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
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