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A Real-Time Control Strategy for Bus Operation to Alleviate Bus Bunching

Author

Listed:
  • Yunqiang Xue

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
    School of Transportation, Southeast University, Nanjing 210096, China)

  • Meng Zhong

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Luowei Xue

    (Jiangxi Institute of Transportation Sciences, Nanchang 330200, China)

  • Haokai Tu

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Caifeng Tan

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Qifang Kong

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Hongzhi Guan

    (School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

In order to alleviate bus bunching and improve the balance and punctuality rate of bus operation, a single-line real-time control strategy based on Intelligent Transportation System (ITS) was proposed. The strategy took three measures: controlling the cruising speed, dwell time, and the bus load rate to improve the stability of bus operations and to ensure its running speed. At the same time, the proposed strategy was compared with the literature on the traditional single-point control strategy based on timetable (S1 for short) and the multi-point control strategy based on time headway (S2 for short). Finally, the No. 245 bus line in Nanchang City, China, was selected as a case. It was modeled and simulated by Python programming software, and the control effects of the three control strategies were analyzed. Compared with the uncontrolled bus operations, the simulation results show that: under the control of S1, the bus operation stability is improved, but the bus operation efficiency is reduced; under the control of S2, the problem of S1 operation efficiency reduction can be solved, and the operation stability can be improved at the same time to achieve the effect of preventing bunching. For the real-time control strategy (S3 for short), the average bus travel time is the smallest, the distance between the buses is maintained the best, and the running stability is also the best, which avoids the bus bunching to the greatest extent. Among them, the average travel time is reduced by about 34% compared with the second strategy. This study provides a theoretical basis and strategy reference for bus operators to ensure balanced bus operation.

Suggested Citation

  • Yunqiang Xue & Meng Zhong & Luowei Xue & Haokai Tu & Caifeng Tan & Qifang Kong & Hongzhi Guan, 2022. "A Real-Time Control Strategy for Bus Operation to Alleviate Bus Bunching," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7870-:d:850284
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    References listed on IDEAS

    as
    1. Yunqiang Xue & Meng Zhong & Luowei Xue & Bing Zhang & Haokai Tu & Caifeng Tan & Qifang Kong & Hongzhi Guan, 2022. "Simulation Analysis of Bus Passenger Boarding and Alighting Behavior Based on Cellular Automata," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    2. Daganzo, Carlos F., 2009. "A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 43(10), pages 913-921, December.
    3. Berrebi, Simon J. & Watkins, Kari E. & Laval, Jorge A., 2015. "A real-time bus dispatching policy to minimize passenger wait on a high frequency route," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 377-389.
    4. Arnold Barnett, 1974. "On Controlling Randomness in Transit Operations," Transportation Science, INFORMS, vol. 8(2), pages 102-116, May.
    5. E. E. Osuna & G. F. Newell, 1972. "Control Strategies for an Idealized Public Transportation System," Transportation Science, INFORMS, vol. 6(1), pages 52-72, February.
    6. Daganzo, Carlos F. & Pilachowski, Josh, 2011. "Reducing bunching with bus-to-bus cooperation," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 267-277, January.
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    2. Valery Kurganov & Mikhail Gryaznov & Andrey Aduvalin & Liliya Polyakova & Aleksey Dorofeev, 2024. "Analysis of Regulation of Costs for Operating Buses in a Transport Company," Sustainability, MDPI, vol. 16(17), pages 1-24, August.

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