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Entropy Model of Dynamic Bus Dispatching Based on the Prediction of Back-Station Time

Author

Listed:
  • Liang Zou

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Li Guo

    (Shenzhen Urban Planning & Land Resource Research Center, Shenzhen 518060, China)

  • Lingxiang Zhu

    (College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China)

  • Zhitian Yu

    (College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

In the actual operation of a bus, due to the influences of the passenger flow, traffic conditions and other factors, the vehicle back-station time is often delayed, which brings difficulties in commuting according to a timetable that results in the discontinuity of the bus. This is also the main disadvantage of static bus scheduling. Therefore, the “Entropy model of dynamic bus dispatching based on the prediction of back-station time” is proposed, which can be used for decreasing the passive effect of discontinuity by extending the departure interval of an early bus in advance, and to realize fairness in adjustments of the departure interval by using entropy theory. Finally, the model is validated by two examples, and the results show that the model can match the distribution pattern of the bus departure interval before and after an adjustment and as far as possible, it can reduce bus breaks, balance the occupancy rate and improve the stability of bus operations.

Suggested Citation

  • Liang Zou & Li Guo & Lingxiang Zhu & Zhitian Yu, 2023. "Entropy Model of Dynamic Bus Dispatching Based on the Prediction of Back-Station Time," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2983-:d:1060296
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    References listed on IDEAS

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    1. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
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