• DocumentCode
    1699600
  • Title

    Pricing model of traffic demand management based on cumulative prospect theory

  • Author

    Liu, Yuyin ; Liu, Weiming ; Hu, Yaomin ; Li, Jie

  • Author_Institution
    Sch. of Civil Eng. & Transp., South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • Firstpage
    5175
  • Lastpage
    5180
  • Abstract
    As an important measure of traffic demand management, congestion pricing can guide and regulate traffic flow to achieve the purpose of easing the traffic congestion. Therefore, it has been paid more and more attention of scholars. Congestion pricing methods are the core and foundation of congestion pricing theory, and the rationality of the pricing model is directly related to the scientific congestion pricing strategies. In the traditional congestion pricing model, it doesn´t correspond to reality, if a traveler is assumed absolutely rational, but the decision-making process can be exactly described by the cumulative prospect theory in the uncertain situation, and it is consistent with the bounded rationality of traveler character. In this paper, on the basis of cumulative prospect theory and Wardrop user equilibrium principle, the psychological effect factors of travelers are brought into the congestion pricing model that well overcome the defects of the traditional pricing model, analyses and prove the feasibility of the model at the same time.
  • Keywords
    decision making; pricing; road traffic; Wardrop user equilibrium principle; congestion pricing; cumulative prospect theory; decision-making process; pricing model; traffic congestion; traffic demand management; traffic flow regulation; Analytical models; Buildings; Mathematical model; Pricing; Resistance; Roads; congestion pricing; cumulative prospect theory; perceive value; pricing model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554903
  • Filename
    5554903