IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/182584.html
   My bibliography  Save this article

Solving the Tractor and Semi-Trailer Routing Problem Based on a Heuristic Approach

Author

Listed:
  • Hongqi Li
  • Yue Lu
  • Jun Zhang
  • Tianyi Wang

Abstract

We study the tractor and semi-trailer routing problem (TSRP), a variant of the vehicle routing problem (VRP). In the TSRP model for this paper, vehicles are dispatched on a trailer-flow network where there is only one main depot, and all tractors originate and terminate in the main depot. Two types of decisions are involved: the number of tractors and the route of each tractor. Heuristic algorithms have seen widespread application to various extensions of the VRP. However, this approach has not been applied to the TSRP. We propose a heuristic algorithm to solve the TSRP. The proposed heuristic algorithm first constructs the initial route set by the limitation of a driver’s on-duty time. The candidate routes in the initial set are then filtered by a two-phase approach. The computational study shows that our algorithm is feasible for the TSRP. Moreover, the algorithm takes relatively little time to obtain satisfactory solutions. The results suggest that our heuristic algorithm is competitive in solving the TSRP.

Suggested Citation

  • Hongqi Li & Yue Lu & Jun Zhang & Tianyi Wang, 2012. "Solving the Tractor and Semi-Trailer Routing Problem Based on a Heuristic Approach," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-12, July.
  • Handle: RePEc:hin:jnlmpe:182584
    DOI: 10.1155/2012/182584
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2012/182584.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2012/182584.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2012/182584?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. Mingyue Shao & Dongxu Chen & Xiaolong Lu & Xuefei Liu & Zhongzhen Yang, 2023. "Does Drop and Pull Transport Have a Chance? The Case of China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    2. Hao, Luyao & Jin, Jian Gang & Zhao, Ke, 2023. "Joint scheduling of barges and tugboats for river–sea intermodal transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).

    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:182584. 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.