IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v12y2018i1p29-41.html
   My bibliography  Save this article

Cognitive Route Search Technique for Self-Driving Vehicles

Author

Listed:
  • Hironori Hiraishi

    (Ashikaga Institute of Technology, Ashikaga, Japan)

  • Fumio Mizoguchi

    (WisdomTex Inc., Tokyo, Japan)

Abstract

This article introduces Time-Constrained Heuristic Search (TCS) as a route search technique that incorporates a cognitive aspect in self-driving vehicles. TCS is a search method using which we can set the time limit to generate a route in advance. The most important feature of TCS is that the node expansion in the latter portion of the journey near the destination tends to be minimized to ensure that the search finishes within the prescribed time limit. TCS conducts a search during the initial portion of the journey that is related to the route the vehicle will move on in the immediate future, but does not take into account the latter portion of the route to a great extent. So, TCS can be regarded as the search technique that selects an option to generate immediate benefit. This characteristic is well-known as the present-oriented bias or the prospect theory in cognitive psychology. Hence, the authors can infer that TCS provides an ability of cognitive judgment to self-driving vehicles.

Suggested Citation

  • Hironori Hiraishi & Fumio Mizoguchi, 2018. "Cognitive Route Search Technique for Self-Driving Vehicles," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 12(1), pages 29-41, January.
  • Handle: RePEc:igg:jcini0:v:12:y:2018:i:1:p:29-41
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.2018010103
    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:jcini0:v:12:y:2018:i:1:p:29-41. 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.