A Collision Warning System for Rear-end Collision: A Driving Simulator Study

Collision warning and collision avoidance systems are emerging automotive safety technologies that assist drivers in avoiding rear-end collisions. Their function is to allow the driver enough time to avoid the crash and yet avoid annoying the driver with alerts perceived as occurring too early or unnecessary. The aim of this paper was analyzing the driver’s behavior in order to define effective driver assistance systems which can be readily accepted by the driver. A study was performed with an interactive fixed-base driving simulator. A sample of 32 drivers drove on a two-lane rural road. Four different driving traffic conditions were implemented. The data recorded during the tests were analyzed to assess the safety distances required by the driver during a car following situation. Based on the risk perception of the driver a new collision warning algorithm was developed.

• Record URL:
  • http://pdn.sciencedirect.com/science?_ob=MiamiImageURL&_cid=277811&_user=10&_pii=S1877042811014558&_check=y&_origin=article&_zone=toolbar&_coverDate=31-Dec-2011&view=c&originContentFamily=serial&wchp=dGLbVlt-zSkWb&md5=a0cb7d9bc386f9c87a518a58a1b54a2f/1-s2.0-S1877042811014558-main.pdf
• 
• Summary URL:
  • http://www.sciencedirect.com/science/article/pii/S1877042811014558
• Availability:
  • Find a library where document is available. Order URL: http://www.sciencedirect.com/science/journal/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Bella, Francesco
  • Russo, Roberta
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References;
• Pagination: pp 676-686
• Monograph Title: The State of the Art in the European Quantitative Oriented Transportation and Logistics Research. 14th European Working Group on Transportation; 26th Mini Euro Conference, and 1st European Scientific Conference on Air Transport
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 20
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Driver support systems; Driving simulators; Rear end crashes; Vehicle safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment; I83: Accidents and the Human Factor; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01365354
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 20 2012 12:16PM