IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8950209.html
   My bibliography  Save this article

A Self-Adjusting Method to Resist Bus Bunching Based on Boarding Limits

Author

Listed:
  • Shuzhi Zhao
  • Chunxiu Lu
  • Shidong Liang
  • Huasheng Liu

Abstract

Bus bunching is one of the most serious problems of urban bus systems. Bus bunching increases waiting and travel time of passengers. Many bus systems use schedules to reach equal headways. Compared to the idea of schedules and the target headway introduced later, we propose a new method to improve the efficiency of a bus system and avoid bus bunching by boarding limits. Our solution can be effectively implemented when buses cannot travel as planned because of bad road conditions and dynamic demands at bus stops. Besides, using our method, bus headways reach the state with equal headways dynamically and spontaneously without drivers’ explicit intervention. Moreover, the method can improve the level of the bus service and reduce total travel time of passengers. We verify our method using an ideal bus route and a real bus route, both showing the success of the proposed method.

Suggested Citation

  • Shuzhi Zhao & Chunxiu Lu & Shidong Liang & Huasheng Liu, 2016. "A Self-Adjusting Method to Resist Bus Bunching Based on Boarding Limits," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-7, May.
  • Handle: RePEc:hin:jnlmpe:8950209
    DOI: 10.1155/2016/8950209
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/8950209.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2016/8950209.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/8950209?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arkadiusz Drabicki & Rafał Kucharski & Oded Cats, 2023. "Mitigating bus bunching with real-time crowding information," Transportation, Springer, vol. 50(3), pages 1003-1030, June.
    2. S. Sajikumar & D. Bijulal, 2022. "Zero bunching solution for a local public transport system with multiple-origins bus operation," Public Transport, Springer, vol. 14(3), pages 655-681, October.
    3. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:8950209. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.