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Multi-train trajectory optimization for energy-efficient timetabling

Citations

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Cited by:

  1. Andreas Bärmann & Alexander Martin & Oskar Schneider, 2021. "Efficient Formulations and Decomposition Approaches for Power Peak Reduction in Railway Traffic via Timetabling," Transportation Science, INFORMS, vol. 55(3), pages 747-767, May.
  2. Zhang, Yongxiang & D'Ariano, Andrea & He, Bisheng & Peng, Qiyuan, 2019. "Microscopic optimization model and algorithm for integrating train timetabling and track maintenance task scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 237-278.
  3. Weiya Chen & Jiaqi Lu & Hengpeng Zhang & Ziyue Yuan, 2023. "Pareto Optimization of Energy-Saving Timetables Considering the Non-Parallel Operation of Multiple Trains on a Metro Line," Mathematics, MDPI, vol. 11(21), pages 1-19, October.
  4. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
  5. Jiang Liu & Tian-tian Li & Bai-gen Cai & Jiao Zhang, 2020. "Boundary Identification for Traction Energy Conservation Capability of Urban Rail Timetables: A Case Study of the Beijing Batong Line," Energies, MDPI, vol. 13(8), pages 1-25, April.
  6. Kang, Liujiang & Li, Hao & Sun, Huijun & Wu, Jianjun & Cao, Zhiguang & Buhigiro, Nsabimana, 2021. "First train timetabling and bus service bridging in intermodal bus-and-train transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 443-462.
  7. Huang, Yu & Zhou, Wenliang & Qin, Jin & Deng, Lianbo, 2023. "Optimization of energy-efficiency train schedule considering passenger demand and rolling stock circulation plan of subway line," Energy, Elsevier, vol. 275(C).
  8. Yang, Songpo & Chen, Yanyan & Dong, Zhurong & Wu, Jianjun, 2023. "A collaborative operation mode of energy storage system and train operation system in power supply network," Energy, Elsevier, vol. 276(C).
  9. Xu, Qian & Liu, Wei & Zhang, Xiaodong & Tian, Zhongbei & Geng, Haoran, 2025. "Energy-efficient multi-train scheduling considering dynamic passenger flows and station-side utilization of regenerative energy," Energy, Elsevier, vol. 340(C).
  10. Mariano Gallo & Marilisa Botte & Antonio Ruggiero & Luca D’Acierno, 2020. "A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines," Energies, MDPI, vol. 13(22), pages 1-17, November.
  11. Li, Wenxin & Peng, Qiyuan & Wen, Chao & Wang, Pengling & Lessan, Javad & Xu, Xinyue, 2020. "Joint optimization of delay-recovery and energy-saving in a metro system: A case study from China," Energy, Elsevier, vol. 202(C).
  12. Gonzalo Sánchez-Contreras & Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala, 2023. "A Two-Level Fuzzy Multi-Objective Design of ATO Driving Commands for Energy-Efficient Operation of Metropolitan Railway Lines," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
  13. Xing, Zongyi & Zhang, Zhenyu & Guo, Jian & Qin, Yong & Jia, Limin, 2023. "Rail train operation energy-saving optimization based on improved brute-force search," Applied Energy, Elsevier, vol. 330(PA).
  14. Huanhuan Lv & Yuzhao Zhang & Kang Huang & Xiaotong Yu & Jianjun Wu, 2019. "An Energy-Efficient Timetable Optimization Approach in a Bi-DirectionUrban Rail Transit Line: A Mixed-Integer Linear Programming Model," Energies, MDPI, vol. 12(14), pages 1-24, July.
  15. Zhu, Songwei & Wang, Yihui & D’Ariano, Andrea & Lu, Shaofeng & Meng, Lingyun & Pacciarelli, Dario, 2026. "Lagrangian relaxation based speed trajectory optimization for multiple trains under virtual coupling with operational state transition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
  16. Buhigiro, Nsabimana & Kang, Liujiang & Lai, Qingying & Sun, Huijun & Xu, Qianwen & Mashhoodi, Bardia, 2026. "A three-stage stochastic optimization approach for robust train timetabling and rolling stock planning with virtual (de)coupling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 207(C).
  17. Luca D’Acierno & Marilisa Botte, 2020. "Optimising Frequency-Based Railway Services with a Limited Fleet Endowment: An Energy-Efficient Perspective," Energies, MDPI, vol. 13(10), pages 1-26, May.
  18. Maryna Bulakh, 2025. "Evaluation and Reduction of Energy Consumption of Railway Train Movement on a Straight Track Section with Reduced Freight Wagon Mass," Energies, MDPI, vol. 18(2), pages 1-17, January.
  19. Lianbo Deng & Shiyu Tang & Ming Chen & Ying Zhang & Yuanyuan Tian & Qun Chen, 2025. "Energy-Efficient Optimization Method for Timetable Adjusting in Urban Rail Transit," Mathematics, MDPI, vol. 13(13), pages 1-24, June.
  20. Baranovskyi, Denys & Bulakh, Maryna, 2026. "Reducing carbon dioxide emissions in metallurgical production and conserving energy consumption during train operation," Energy, Elsevier, vol. 347(C).
  21. Franciszek Restel & Łukasz Wolniewicz & Matea Mikulčić, 2021. "Method for Designing Robust and Energy Efficient Railway Schedules," Energies, MDPI, vol. 14(24), pages 1-12, December.
  22. Wang, Xuekai & Tang, Tao & Su, Shuai & Yin, Jiateng & Gao, Ziyou & Lv, Nan, 2021. "An integrated energy-efficient train operation approach based on the space-time-speed network methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
  23. Zhan, Shuguang & Wang, Pengling & Wong, S.C. & Lo, S.M., 2022. "Energy-efficient high-speed train rescheduling during a major disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
  24. Phil Howlett & Peter Pudney & Amie Albrecht, 2023. "Optimal Driving Strategies for a Fleet of Trains on Level Track with Prescribed Intermediate Signal Times and Safe Separation," Transportation Science, INFORMS, vol. 57(2), pages 399-423, March.
  25. 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.
  26. Lian, Deheng & Mo, Pengli & D’Ariano, Andrea & Gao, Ziyou & Yang, Lixing, 2024. "Energy-saving time allocation strategy with uncertain dwell times in urban rail transit: Two-stage stochastic model and nested dynamic programming framework," European Journal of Operational Research, Elsevier, vol. 317(1), pages 219-242.
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