An efficient collision avoidance strategy for ITS systems

Tarik Taleb, Keisuke Ooi, Kazuo Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

In this paper, we develop an efficient vehicle collision avoidance strategy for intelligent transport systems. The proposed strategy first clusters vehicles according to the features of their movement (e.g., direction of movement, inter-vehicle distance, and relative velocity). To enhance the responsiveness of the proposed CCA system, a risk-aware MAC protocol is designed. In the proposed scheme, an emergency level is defined for each vehicle based on its order in its respective cluster. The emergency level reflects the risk of a vehicle to meet an emergency situation in the platoon. The medium access delay of each vehicle is set as a function of its emergency level in a way that enables vehicles in emergency situations to promptly disseminate warning messages to neighboring vehicles and to accordingly minimize chain collisions. The proposed CCA system is dubbed Clusterbased Risk-Aware CCA (C-RACCA). The performance of the proposed C-RACCA system is evaluated via simulations and encouraging results are obtained.

Original languageEnglish
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2212-2217
Number of pages6
ISBN (Print)9781424419968
DOIs
Publication statusPublished - 2008 Jan 1
Externally publishedYes
EventIEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States
Duration: 2008 Mar 312008 Apr 3

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2008
CountryUnited States
CityLas Vegas, NV
Period08/3/3108/4/3

ASJC Scopus subject areas

  • Engineering(all)

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