IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v184y2024ics1366554524000760.html
   My bibliography  Save this article

Modeling link capacity constraints with physical queuing and toll in the bi-modal mixed road network including bus and car modes

Author

Listed:
  • Yao, Jia
  • Chen, Yanqin
  • Chen, Anthony
  • Liu, Zhiyuan

Abstract

In urban transportation network, the formation of traffic congestion is often caused by link capacity constraints, which is often accompanied by physical queuing phenomena. This paper proposes a bi-modal mixed traffic equilibrium model with capacity constraints under two cases: (1) the physical queuing case for both car and bus modes; (2)implementing a queuing toll policy only for car mode to eliminate physical queuing. Based on the method of successive averages, an improved bi-loop algorithm is designed to solve the model. By two classical networks, we compare the two proposed cases with the benchmark case without capacity constraints to analyze the impact of capacity constraints and queueing toll policy on travelers’ travel cost and travel choice behavior. Some general insights are concluded based on the numerical results.

Suggested Citation

  • Yao, Jia & Chen, Yanqin & Chen, Anthony & Liu, Zhiyuan, 2024. "Modeling link capacity constraints with physical queuing and toll in the bi-modal mixed road network including bus and car modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:transe:v:184:y:2024:i:c:s1366554524000760
    DOI: 10.1016/j.tre.2024.103486
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524000760
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2024.103486?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:transe:v:184:y:2024:i:c:s1366554524000760. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.