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Accident reproduction system for the identification of human factors involved on traffic accidents

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4 Author(s)
Oscar S. Siordia ; Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Tulipan s/n, Mostoles, Madrid, Spain, 28933 ; Isaac Martín de Diego ; Cristina Conde ; Enrique Cabello

In this paper, a novel accident reproduction system for the identification of the main human factors involved on traffic accidents is presented. The system is based on a wireless in-vehicle Electronic Data Recorder that could be easily installed in any vehicle's cabin for the monitoring of the three basic elements of traffic safety: driver, road and vehicle. The system has been tested in a highly realistic truck simulator with a group of professional drivers. The data, collected with the system at the moments before traffic accidents, were used to generate a novel database that was carefully analyzed by a group of traffic safety experts. The validation process shows the reliability of the developed system as a tool for the identification of the main causes of the monitored traffic accidents.

Published in:

Intelligent Vehicles Symposium (IV), 2012 IEEE

Date of Conference:

3-7 June 2012