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Models and a solution algorithm for planning transfer synchronization of bus timetables

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  • Chu, James C.
  • Korsesthakarn, Kanticha
  • Hsu, Yu-Ting
  • Wu, Hua-Yen

Abstract

Mixed-integer linear programming models and a heuristic algorithm are proposed for the transfer synchronization planning of bus timetables. The most important novelty of the proposed methodology is that the bus timetables and passenger choices of travel paths are simultaneously optimized in the model. The possibilities of transfer synchronization are fully explored in the timetable optimization because passengers select their paths to the destination in response to the timetables. Hence, bus timetables can be planned with high precision, and bus timetabling can be improved.

Suggested Citation

  • Chu, James C. & Korsesthakarn, Kanticha & Hsu, Yu-Ting & Wu, Hua-Yen, 2019. "Models and a solution algorithm for planning transfer synchronization of bus timetables," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 247-266.
    • Handle: RePEc:eee:transe:v:131:y:2019:i:c:p:247-266
    DOI: 10.1016/j.tre.2019.10.001
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    Cited by:

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    3. Cortés, Cristián E. & Gil, Cristiam & Gschwender, Antonio & Rey, Pablo A., 2023. "The bus synchronization timetabling problem with dwelling times," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    4. Hu, Yuting & Li, Shukai & Dessouky, Maged M. & Yang, Lixing & Gao, Ziyou, 2022. "Computationally efficient train timetable generation of metro networks with uncertain transfer walking time to reduce passenger waiting time: A generalized Benders decomposition-based method," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 210-231.
    5. Zheng, Hankun & Sun, Huijun & Kang, Liujiang & Dai, Peiling & Wu, Jianjun, 2023. "Multi-route coordination for bus systems in response to road disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    7. Yuan, Yin & Li, Shukai & Yang, Lixing & Gao, Ziyou, 2022. "Real-time optimization of train regulation and passenger flow control for urban rail transit network under frequent disturbances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).

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