Predicting truck crash involvement: a commercial driver behavior-based indicator

The American Transportation Research Institute (ATRI) conducted research to identify a driver performance-based model for predicting future crash involvement based on prior driver history. The analysis identifies eight moving violations as significant with an associated crash likelihood increase between 21 and 325 percent. Four driver violations were identified as having a significant associated crash likelihood increase between 18 and 56 percent. Twelve convictions were significant with an associated crash likelihood increase between 24 and 100 percent. Drivers with a past crash were found to have an increased likelihood of a future crash of 87 percent. In order to address the driver behaviors identified, successful enforcement strategies were identified through interviews and surveys.

• Authors:
  • Murray, D
  • Brewster, R
  • Lantz, B
  • Keppler, S
• Conference:
  • International Truck and Bus Safety and Security Symposium, 2005, Alexandria, Virginia, USA
• Publication Date: 2005

Language

• English

Media Info

• Pagination: 3-11
• Monograph Title: Final proceedings: International Truck and Bus Safety and Security Symposium, November 14-16, 2005, Alexandria, Virginia, USA

Subject/Index Terms

• TRT Terms: Behavior; Commercial vehicle operations; Drivers; Forecasting; Mathematical models; Traffic crashes; Vehicle safety
• Uncontrolled Terms: Road safety (engineering and vehicles)
• ATRI Terms: Commercial vehicle operations (CVO); Driver behaviour; Forecast; Modelling; Traffic crash; Vehicle safety
• Subject Areas: Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01388637
• Record Type: Publication
• Source Agency: ARRB
• Files: ATRI
• Created Date: Aug 23 2012 1:10AM