DocumentCode :
1940334
Title :
Evaluation of cooperative roadside and vehicle-based data collection for assessing intersection conflicts
Author :
Chan, Ching-Yao ; Bougler, Bénédicte
Author_Institution :
California Univ., Berkeley, CA, USA
fYear :
2005
fDate :
6-8 June 2005
Firstpage :
165
Lastpage :
170
Abstract :
Intersection collisions represent a significant portion of highway accidents. Recent research and development activities have suggested potential solutions to address this critical safety issue by supplying timely alerts to drivers of imminent collisions. These intersection decision support systems utilized sensor, communication and computer technologies to help drivers recognize risky conditions, thus actions can be taken to avoid collisions. A cooperative vehicle-infrastructure concept, built upon such premises, seek to combine the information available from vehicles and roadside in a synergistic framework so that a flexible yet sensible system can be deployed in the near future. The work presented in this paper represents an experimental effort conducted at a real-world intersection, by the use of an instrumented vehicle and roadside traffic monitoring, to explore technical challenges encountered in a vehicle-infrastructure integration approach.
Keywords :
automated highways; data analysis; decision support systems; driver information systems; road accidents; road traffic; road vehicles; sensors; cooperative vehicle-infrastructure integration; highway accidents; instrumented vehicle; intersection collisions; intersection conflict assessment; intersection decision support systems; roadside traffic monitoring; vehicle-based data collection; Communications technology; Decision support systems; Instruments; Monitoring; Research and development; Road accidents; Road transportation; Road vehicles; Safety; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
Type :
conf
DOI :
10.1109/IVS.2005.1505096
Filename :
1505096
Link To Document :
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