IDEAS home Printed from https://ideas.repec.org/a/hin/complx/9764204.html
   My bibliography  Save this article

Unified Framework for Optimal Routing Choice under Guidance Information

Author

Listed:
  • Zhi-yuan Sun
  • Yue Li
  • Wen-cong Qu
  • Tanveer Muhammad

Abstract

In order to satisfy the diverse demand of travel service in the context of big data, this paper puts forward a unified framework for optimal routing choice under guidance information. With consideration of the influence of big data, the scenario analysis of routing choice is implemented, and the routing choice under guidance information is discussed. The optimal routing choice problem is abstracted into the collaboration optimization model of travel route choice, departure time choice, and travel mode choice. Based on some basic assumptions, the collaboration optimization model is formulated as a variational inequality model. The method of successive averages is applied to solve the proposed model. A case study is carried out to verify the applicability and reliability of the model and algorithm.

Suggested Citation

  • Zhi-yuan Sun & Yue Li & Wen-cong Qu & Tanveer Muhammad, 2018. "Unified Framework for Optimal Routing Choice under Guidance Information," Complexity, Hindawi, vol. 2018, pages 1-11, August.
  • Handle: RePEc:hin:complx:9764204
    DOI: 10.1155/2018/9764204
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/9764204.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2018/9764204.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/9764204?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
    ---><---

    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:complx:9764204. 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.