Effects of Collision Warning Systems on Drivers’ Freeway Lane-changing Behavior

A collision warning system (CWS) helps prevent accident occurrence or mitigate injury severity by making drivers aware of imminent danger. Using a driving simulator, this study investigates drivers’ lane changing behavior on the freeway. Lane change behavior was studied under the conditions of with/without CWS. It was found that CWS, with the aid of the gap-detection function, helped drivers to determine a safer space between the host vehicles and other vehicles to complete a lane change maneuver. The ratio of the lead to the lag was about 1:1.4. Analysis results of the experiment indicate that accidents were attributed to a relatively low travel speed for the condition and/or a short lag distance. It denotes that although CWS held a gap-detection function, it still requires drivers to maintain a safe speed and not be too late in merging into the adjacent lane to complete a lane change with safety. When the subject accepted a short lag distance, the lag vehicle might be hiding in the blind spot of the host vehicle. Therefore, it is suggested that in addition to the function of gap-detection, CWS be equipped with blind spot viewing aids to detect obstructions hiding in the blind spots.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Wu, Chi-Hung
    • Tseng, Pin-Yi
    • Chang, Chiung-Wen
    • Chen, Wan-Hui
    • Chang, Sheng-Hsiung
  • Conference:
  • Publication Date: 2012


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Photos; References; Tables;
  • Pagination: 12p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01498986
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 12 2013 12:51PM