• DocumentCode
    2641715
  • Title

    Managing Effectiveness and Acceptability in Intelligent Speed Adaptation Systems

  • Author

    Blum, Jeremy J. ; Eskandarian, Azim

  • Author_Institution
    Center for Intelligent Syst. Res., George Washington Univ., Ashburn, VA
  • fYear
    2006
  • fDate
    17-20 Sept. 2006
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    Intelligent speed adaptation (ISA) systems hold great promise for improving roadway safety by reducing instances of speeding. However, previous evaluations of these systems have revealed a significant paradox. Mandatory systems that strictly enforce speed limits, while effective, face significant consumer acceptance hurdles. Moreover, young male drivers, who would benefit the most from ISA, tend to be the most negatively disposed towards these systems. Voluntary and advisory systems, on the other hand, are more acceptable to drivers. However, these systems are significantly less effective in reducing speeding. In addition to the tradeoff between effectiveness and acceptability, there is also significant concern that ISA systems may, in fact, have an adverse affect on roadway safety. This paper reviews the research that has been conducted on ISA, and presents possible strategies to maximize both effectiveness and acceptability and mitigate deleterious effects on roadway safety
  • Keywords
    automated highways; road safety; ISA systems; advisory systems; consumer acceptance; intelligent speed adaptation systems; roadway safety; voluntary systems; Auditory displays; Haptic interfaces; Helium; Injuries; Instruction sets; Intelligent systems; Remotely operated vehicles; Road safety; User interfaces; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0093-7
  • Electronic_ISBN
    1-4244-0094-5
  • Type

    conf

  • DOI
    10.1109/ITSC.2006.1706761
  • Filename
    1706761