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Methodology of mixed load customized bus lines and adjustment based on time windows

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  • ZhiJie Li
  • Rui Song
  • Shiwei He
  • Mingkai Bi

Abstract

Custom bus routes need to be optimized to meet the needs of a customized bus for personalized trips of different passengers. This paper introduced a customized bus routing problem in which trips for each depot are given, and each bus stop has a fixed time window within which trips should be completed. Treating a trip as a virtual stop was the first consideration in solving the school bus routing problem (SBRP). Then, the mixed load custom bus routing model was established with a time window that satisfies its requirement and the result were solved by Cplex software. Finally, a simple network diagram with three depots, four pickup stops, and five delivery stops was structured to verify the correctness of the model, and based on the actual example, the result is that all the buses ran 124.42 kilometers, the sum of kilometers was 10.35 kilometers less than before. The paths and departure times of the different busses that were provided by the model were evaluated to meet the needs of the given conditions, thus providing valuable information for actual work.

Suggested Citation

  • ZhiJie Li & Rui Song & Shiwei He & Mingkai Bi, 2018. "Methodology of mixed load customized bus lines and adjustment based on time windows," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-11, January.
    • Handle: RePEc:plo:pone00:0189763
    DOI: 10.1371/journal.pone.0189763
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    References listed on IDEAS

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    1. Shyue Koong Chang & Paul M. Schonfeld, 1991. "Optimization Models for Comparing Conventional and Subscription Bus Feeder Services," Transportation Science, INFORMS, vol. 25(4), pages 281-298, November.
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    Cited by:

    1. Zhiling Han & Yanyan Chen & Hui Li & Kuanshuang Zhang & Jiyang Sun, 2019. "Customized Bus Network Design Based on Individual Reservation Demands," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    2. Qing Yu & Weifeng Li & Haoran Zhang & Dongyuan Yang, 2020. "Mobile Phone Data in Urban Customized Bus: A Network-based Hierarchical Location Selection Method with an Application to System Layout Design in the Urban Agglomeration," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    3. Bing Zhang & Zhishan Zhong & Xun Zhou & Yongqiang Qu & Fangwei Li, 2023. "Optimization Model and Solution Algorithm for Rural Customized Bus Route Operation under Multiple Constraints," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    4. Shang, Huayan & Chang, Yi & Huang, Haijun & Zhao, Fangxia, 2022. "Integration of conventional and customized bus services: An empirical study in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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