Potential effectiveness of integrated forward collision warning, pre-collision brake assist, and automated pre-collision braking systems in real-world, rear-end collisions

Kusano, Kristofer D.; Gabler, Hampton C.

Affiliations

Abstract

This study examines the potential effectiveness of a Pre-Collision System (PCS) that integrates Forward Collision Warning (FCW), Pre-crash Brake Assist (PBA), and autonomous Pre-crash Braking (PB). Real-world rear-end crashes were extracted from NASS/CDS years 1993 - 2008. The sample of 1,396 collisions, corresponding to 1.1 million crashes, was simulated as if the striking vehicle had been equipped with PCS. A stochastic framework was developed to account for the variability in driver response to the warning system. The result was an estimate of PCS benefits in terms of crash severity (change in velocity during the collision, ΔV), injury reduction for drivers, and prevented collisions. The results indicate that PCS reduced the median ΔV by 34%. The number of moderately to fatally injured drivers wearing their seat belt was reduced by 50%. Finally, 7.7% of collisions were prevented.

Links

URL: http://www-nrd.nhtsa.dot.gov/pdf/esv/esv22/22ESV-000364.pdf

Cited Works (5)

Year	Entry
2007	Sharma D, Stern S, Brophy J, Choi E-H. An overview of NHTSA’s crash reconstruction software WinSMASH. In: Proceedings of the 20th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 18-21, 2007; Lyon, France.
2010	Kusano KD, Gabler HC. Potential occupant injury reduction in pre-crash system equipped vehicles in the striking vehicle of rear-end crashes. In: 54th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 17-20, 2010; Las Vegas, NV.203-213.
2008	Gabauer DJ, Gabler HC. Comparison of roadside crash injury metrics using event data recorders. Accid Anal Prev. March 2008;40(2):548-558.
2010	Hampton CE, Gabler HC. Evaluation of the accuracy of NASS/CDS delta-V estimates from the enhanced winsmash algorithm. In: 54th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 17-20, 2010; Las Vegas, NV.241-251.
2004	Bahouth GT, Digges KH, Bedewi NE, Kuznetsov A, Augenstein JS, Perdeck E. Development of URGENCY 2.1 for the prediction of crash injury severity. Top Emerg Med. April–June 2004;26(2):157-165.

Cited By (2)

Year	Entry
2013	Bálint A. Mathematical analysis of braking in rear-end crash scenarios. In: Proceedings of the 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV). May 27-30, 2013; Seoul, South Korea.
2013	Kusano KD. Methodology for Determining Crash and Injury Reduction from Emerging Crash Prevention Systems in the U.S. [PhD thesis]. Virginia Polytechnic Institute and State University; 2013.