DocumentCode :
2537017
Title :
Multi-vehicles interaction graph model for cooperative collision warning system
Author :
Sebastian, Alvin ; Tang, Maolin ; Feng, Yanming ; Looi, Mark
Author_Institution :
Fac. of Inf. Technol., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
929
Lastpage :
934
Abstract :
Cooperative collision warning system for road vehicles, enabled by recent advances in positioning systems and wireless communication technologies, can potentially reduce traffic accident significantly. To improve the system, we propose a graph model to represent interactions between multiple road vehicles in a specific region and at a specific time. Given a list of vehicles in vicinity, we can generate the interaction graph using several rules that consider vehicle´s properties such as position, speed, heading, etc. Safety applications can use the model to improve emergency warning accuracy and optimize wireless channel usage. The model allows us to develop some congestion control strategies for an efficient multi-hop broadcast protocol.
Keywords :
Global Positioning System; alarm systems; automated highways; broadcast channels; directed graphs; protocols; road accidents; road safety; road traffic; road vehicles; telecommunication congestion control; wireless LAN; wireless channels; GPS; IEEE 802.11p DSRC/WAVE standard; congestion control strategy; cooperative collision warning system; emergency warning; global positioning system; intelligent transportation system; multihop broadcast protocol; multivehicle interaction directed-graph model; road safety application; road vehicle; traffic accident reduction; wireless channel usage optimization; wireless communication technology; Alarm systems; Australia; Communications technology; Global Positioning System; Protocols; Road accidents; Road safety; Road vehicles; Sensor systems; Wireless communication; cooperative collision warning; graph model; vehicles interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164404
Filename :
5164404
Link To Document :
بازگشت