IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/6669567.html
   My bibliography  Save this article

Vehicle Routing and Scheduling of Flex-Route Transit under a Dynamic Operating Environment

Author

Listed:
  • Yue Zheng
  • Liangpeng Gao
  • Wenquan Li
  • Tingsong Wang

Abstract

To improve the reliability, responsiveness, and productivity of the flex-route transit service, this paper investigates the vehicle scheduling and routing problem under a dynamic operating environment. First, we discuss the new operating polices after the introduction of intelligent transportation systems (ITSs), including automatic vehicle location (AVL) system, mobile data terminal (MDT), and computer-aided dispatch (CAD) system. Second, a mixed integer programming (MIP) formulation is employed to solve the offline routing problem. Third, an online scheduling scheme is presented to tackle different dynamic events, such as dynamic requests, travel time fluctuations, cancellations of requests, and customer no-shows. Finally, simulation experiments based on a real-life flex-route transit service are conducted to assess the influence of different dynamic events. The results demonstrate that the proposed scheduling scheme is reliable for coping with various dynamic events, and our findings can be used to guide the policy making of flex-route transit services.

Suggested Citation

  • Yue Zheng & Liangpeng Gao & Wenquan Li & Tingsong Wang, 2021. "Vehicle Routing and Scheduling of Flex-Route Transit under a Dynamic Operating Environment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-10, January.
    • Handle: RePEc:hin:jnddns:6669567
    DOI: 10.1155/2021/6669567
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2021/6669567.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/ddns/2021/6669567.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/6669567?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. Li, Mingyang & Tang, Jinjun, 2023. "Simulation-based optimization considering energy consumption for assisted station locations to enhance flex-route transit," Energy, Elsevier, vol. 277(C).
    2. Jiayi Li & Zhaocheng He & Jiaming Zhong, 2022. "The Multi-Type Demands Oriented Framework for Flex-Route Transit Design," Sustainability, MDPI, vol. 14(15), pages 1-23, August.

    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:jnddns:6669567. 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.