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Optimization Method of Combined Multi-Mode Bus Scheduling under Unbalanced Conditions

Author

Listed:
  • Dalong Li

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Benxing Liu

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Fangtong Jiao

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Ziwen Song

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Pengsheng Zhao

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Xiaoqing Wang

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Feng Sun

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

Abstract

In view of the spatial and temporal imbalance of residents’ travel demands and challenges of optimal bus capacity allocation, in this paper the grand station express bus scheduling mode is introduced in the direction of heavy passenger flow during peak hours. Coordinated scheduling combining whole-journey and grand station express buses is adopted, and the station correlation calculation model is used to determine the optimal stops of the grand station express bus. Thus, a two-way bus scheduling optimization model for peak passenger flow is established with the goal of minimizing the total cost of passenger travel and enterprise operation. Finally, the nonlinear inertia weight dynamic cuckoo search algorithm is selected for the model’s solution, and the established scheduling optimization model is solved by combining basic data such as the study line’s bus Integrated Circuit (IC) card data. The effectiveness of the model is verified through a comparative study and evaluation of the solution.

Suggested Citation

  • Dalong Li & Benxing Liu & Fangtong Jiao & Ziwen Song & Pengsheng Zhao & Xiaoqing Wang & Feng Sun, 2022. "Optimization Method of Combined Multi-Mode Bus Scheduling under Unbalanced Conditions," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15839-:d:986714
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    References listed on IDEAS

    as
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