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