[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/igg/jsita0/v9y2018i2p1-17.html
   My bibliography  Save this article

Toward a Decision Support System for Regulation in an Urban Transport Network

Author

Listed:
  • Khadidja Yachba

    (University Center of Relizane Bourmadia, Relizane, Algeria)

  • Zakaria Bendaoud

    (GeCoDe Laboratory, Department of Computer Science, University of Saida, Algeria)

  • Karim Bouamrane

    (LIO Laboratory, University Oran1, Ahmed Benbella, Oran, Algeria)

Abstract
In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed model should provide synthesis, evaluation and updating of available information in order to facilitate the task of the network monitoring operator. To achieve this objective, the authors propose formal modeling of the perturbation concept through an effective and above all significant decision support system exploiting the diversity of the criteria as well as the decision maker's subjectivity. This modeling makes it possible to capitalize the knowledge available within a checkpoint and to monitor the process. The authors show how, from the information available on the network, the modeling of the process represented by a perturbation makes it possible to enrich the possibilities of evaluation of the state of the network.

Suggested Citation

  • Khadidja Yachba & Zakaria Bendaoud & Karim Bouamrane, 2018. "Toward a Decision Support System for Regulation in an Urban Transport Network," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 9(2), pages 1-17, April.
  • Handle: RePEc:igg:jsita0:v:9:y:2018:i:2:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSITA.2018040101
    Download Restriction: no
    ---><---

    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:igg:jsita0:v:9:y:2018:i:2:p:1-17. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.