Forward collision warning system considering both time–to–collision and safety braking distance

A novel algorithm considering both time-to-collision (TTC) and safety braking distance for forward collision warning system is presented to alert and to assist a driver in keeping a safe braking distance to avoid a collision on the highway. The authors use the Artificial Neural Network (ANN) to predict the safety braking distance and TCC based on the most important parameters, which are the distance between the driving car and the vehicle (obstacle) ahead, the variable of the distance between the driving car and the vehicle (obstacle) ahead, vehicle weight, vehicle speed, slope of road, condition of road surface, and the age of driver. The system compares the distance of vehicle (obstacle) ahead and safety braking distance and also determines whether the moving vehicle's safety braking distance is enough or not. The reaction time of driver and pressure build–up time of braking system are all taken into account. The useful alert messages can serve as a safety assistance system for safer driving in highway.

• Record URL:
  https://doi.org/10.1504/IJVS.2013.056968
• Record URL:
  http://inderscience.metapress.com/link.asp?target=contribution&id=70NK7MW24026M7M3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14793105
• Supplemental Notes:
  • © 2013 Inderscience Enterprises Ltd.
• Authors:
  • Chen, Yuan-Lin
  • Shen, Kun-Yuan
  • Wang, Shun-Chung
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 347-360
• Serial:
  • International Journal of Vehicle Safety
  • Volume: 6
  • Issue Number: 4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1479-3105
  • EISSN: 1479-3113
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijvs

Subject/Index Terms

• TRT Terms: Braking; Crash avoidance systems; Crashes; Highway safety; Neural networks; Safety equipment; Stopping distances; Warning systems
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01497495
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 9 2013 11:00AM