• DocumentCode
    523706
  • Title

    Research on Decision Risk of Driving Behavior Based on Traffic Information Asymmetry Degree

  • Author

    Ren, Yuanyuan ; Li, Xiansheng ; Liu, Hongfei

  • Author_Institution
    Coll. of Transp., Jilin Univ., Changchun, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    1138
  • Lastpage
    1141
  • Abstract
    Analyzing driving behavior decision risk is the key to evaluate the road traffic safety. In order to understand the production mechanism of behavior decision risk preferably, the application of information asymmetry theory will set up the decision risk of driving behavior model centering on the traffic accident probability, the accident severity and the traffic information asymmetry degree in this paper, finally, the practicality and accuracy of model were verified through examples. The case has showed that the road traffic information searching and judging is different for drivers of different vehicle type in the same road section, which also leads to the different running risk degree in some extent. The investigation result is that the integrated risk of heavy truck and large bus is highest, while the mini bus is lowest, and the light truck is middle, which has fully verified the effectiveness of the model.
  • Keywords
    decision theory; driver information systems; probability; risk analysis; road safety; road traffic; road vehicles; driving behavior decision risk; heavy truck; information asymmetry theory; large bus; light truck; mini bus; road traffic information searching; road traffic safety; traffic accident probability; traffic information asymmetry degree; Automation; Cognition; Educational institutions; Probability; Production; Road accidents; Road safety; Road transportation; Road vehicles; Traffic control; Driving Behavior Decision Risk; Information Asymmetry Degree; Information Transmission; Traffic Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.655
  • Filename
    5522890