• DocumentCode
    2902685
  • Title

    Empirical study of drivers´ learning behavior and reliance on VMS

  • Author

    Zhao Dan ; Shao Chunfu

  • Author_Institution
    MOE Key Lab. for Urban Transp. Complex Syst. Theor. & Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    19-22 Sept. 2010
  • Firstpage
    1614
  • Lastpage
    1619
  • Abstract
    Variable message signs (VMS) are helpful assisting drivers in selecting appropriate routes and improving the efficiency and utilities of road networks. Although VMS have been welcomed by drivers, but their compliance with VMS suggestions is low. By reviewing lots of literatures, the factors that influence drivers´ learning behavior and route choice behavior under VMS are summarized, and it is found that drivers´ reliance on VMS is a critical factor connecting drivers´ learning behavior and route choice behavior in their decision-making process. Since reliance is difficult to quantize, a structural equation model is introduced based on the problem pattern to measure it, also the casual relationship of drivers´ personal attributes, route choice behavior, learning behavior and reliance on VMS are clarified. The specified model demonstrated excellent fitness with multiple measures, and the empirical results and conclusions have been proved to be logical.
  • Keywords
    decision making; driver information systems; decision-making process; driver learning behavior; personal attributes; road network; route choice behavior; route selection; structural equation model; variable message signs; Analytical models; Driver circuits; Educational institutions; Equations; Indexes; Mathematical model; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on
  • Conference_Location
    Funchal
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4244-7657-2
  • Type

    conf

  • DOI
    10.1109/ITSC.2010.5625168
  • Filename
    5625168