DocumentCode :
2515249
Title :
Accident reproduction system for the identification of human factors involved on traffic accidents
Author :
Siordia, Oscar S. ; De Diego, Isaac Martín ; Conde, Cristina ; Cabello, Enrique
Author_Institution :
Face Recognition & Artificial Vision Group, Univ. Rey Juan Carlos, Madrid, Spain
fYear :
2012
fDate :
3-7 June 2012
Firstpage :
987
Lastpage :
992
Abstract :
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.
Keywords :
accidents; driver information systems; human factors; road safety; accident reproduction system; human factors; identification; professional drivers; road; traffic accidents; traffic safety; truck simulator; wireless in-vehicle electronic data recorder; Accidents; Data acquisition; Monitoring; Roads; Safety; Vehicles; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2119-8
Type :
conf
DOI :
10.1109/IVS.2012.6232126
Filename :
6232126
Link To Document :
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