• DocumentCode
    3476746
  • Title

    Optimal Route Selection Method Based on Grey Incidence Analysis

  • Author

    Sun, Yan ; Wu, Yi ; Sun, Zheng

  • Author_Institution
    Ocean Univ. of China, Qingdao
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    2495
  • Lastpage
    2499
  • Abstract
    One function of an in-vehicle traffic flow guidance system is route planning. Given a set of origin-destination (O/D) pair, there could be many possible routes for a driver. A useful traffic flow guidance system should have the capability to support the driver effectively in deciding on an optimal route to his preference. The objective of this work is to model the driver behavior in the area of route selection. In particular, the research focuses on an optimal route selection function in a typical in- vehicle navigation system or dynamic route guidance (DRG) system. In this paper, we want to emphasize the need to orientate the route selection method on the driver´s preference. Each feasible route has a set of attributes. Based on the improved AHP and grey incidence analysis, an adaptive optimal route selection method to a driver´s preference is proposed, and the corresponding decision support system is also developed, which paves for the development of the traffic flow guidance system.
  • Keywords
    decision support systems; road traffic; road vehicles; traffic engineering computing; adaptive optimal route selection; decision support system; driver behavior model; dynamic route guidance; grey incidence analysis; in-vehicle navigation system; in-vehicle traffic flow guidance system; origin-destination; route planning; Adaptive control; Decision support systems; Educational institutions; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Oceans; Roads; Sun; Traffic control; AHP; decision support system; driver´s preference; grey incidence analysis; optimal route selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338998
  • Filename
    4338998