IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v659y2025ics0378437124008410.html
   My bibliography  Save this article

Objective description of heterogeneous traffic flow patterns of passenger cars and trucks on long downhill sections in Kerner's three-phase traffic theory framework

Author

Listed:
  • Hu, Xiaojian
  • Yu, Fengkai

Abstract

Because of their substantial weight, trucks frequently brake to control their speed on long downhill sections, placing a significant load on the brakes. After traveling a certain distance, this leads to degradation of the brake performance and poses a considerable traffic safety hazard. This study analyzes the energy transformation of trucks on long downhill sections using the law of energy conservation, and derives the relationship between brake performance and travel distance. Within the framework of Kerner's three-phase traffic theory, the impact of brake performance degradation on traffic flow in long downhill sections was studied. This model is based on the well-known Kerner–Klenov–Schreckeneberg–Wolf (KKSW) cellular automaton (CA) model. By comparing the traffic flow under different traffic volume and truck percentage scenarios, it was found that the synchronized flow generated under certain traffic volume and truck proportion conditions has a particularly significant impact upstream. Based on the simulation results, a lane segregation strategy is proposed for certain traffic volumes and truck percentages.

Suggested Citation

  • Hu, Xiaojian & Yu, Fengkai, 2025. "Objective description of heterogeneous traffic flow patterns of passenger cars and trucks on long downhill sections in Kerner's three-phase traffic theory framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
  • Handle: RePEc:eee:phsmap:v:659:y:2025:i:c:s0378437124008410
    DOI: 10.1016/j.physa.2024.130331
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124008410
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2024.130331?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:phsmap:v:659:y:2025:i:c:s0378437124008410. 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.