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Wireless In-Vehicle Compliant Black Box: For Accident Analysis

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4 Author(s)
Siordia, O.S. ; Face Recognition & Artificial Vision, Univ. Rey Juan Carlos, Madrid, Spain ; de Diego, I.M. ; Conde, C. ; Cabello, E.

In this article, a novel accident analysis system is proposed to determine the main human factors involved in traffic accidents. Several tests of the system were carried out 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 cause of traffic accidents.

Published in:

Vehicular Technology Magazine, IEEE  (Volume:7 ,  Issue: 3 )