Prediction of Brake Onset Times for Rear End Collisions

Driving has become an integral part of our daily lives, and so too have the dangers associated with driving. Understanding driver behavior could lead to system modifications to alleviate some of these inherent dangers. Specifically, prediction of driver braking behavior might be used to improve automatic braking systems and adaptive cruise control systems. The research presented in this paper details the development of an algorithm to predict the brake onset times in situations where rear-end collisions might occur. The algorithm is adaptive to an individual and not set to generic values. This algorithm was generated using data from a previous study (Kelling, 2006). Displayed stimuli consisted of different situations for a lead vehicle (stopped, slower moving, and reversing lead vehicle), multiple rates of closure (32.2, 64.4, and 96.6 kph), and two luminance conditions (day or night driving). Brake onset times were recorded. A self-modifiable algorithm was developed and was found to have an R-squared value of .625. The degree of goodness-of-fit for this algorithm is worthy of note because it also considers differences in the driving environment. The individualized adaptive ability of the algorithm provides a greater overall fit for predicting braking behavior, and it may be more useful in automated systems than existing algorithms.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780874141580
• Corporate Authors:

  University of Iowa, Iowa City

  Public Policy Center
  227 South Quadrangle
  Iowa City, IA  United States  52242-1192
• Authors:
  • Kelling, Nicholas J
  • Corso, Gregory M
• Conference:
  • Driving Assessment 2007: 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
  • Location: Stevenson Washington, United States
  • Date: 2007-7-9 to 2007-7-12
• Publication Date: 2007

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; References;
• Pagination: pp 212-216
• Monograph Title: Proceedings of the 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Stevenson, Washington, July 9-12, 2007

Subject/Index Terms

• TRT Terms: Algorithms; Automatic braking; Autonomous intelligent cruise control; Behavior; Braking; Braking performance; Daylight; Drivers; Driving; Highway safety; Night; Rear end crashes; Traffic crashes; Traffic safety
• Uncontrolled Terms: Lead vehicles; Onset times
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01055509
• Record Type: Publication
• ISBN: 9780874141580
• Files: TRIS
• Created Date: Aug 13 2007 2:21PM