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Cooperative Collision Warning through Mobility and Probability Prediction
Proceedings of the 2010 IEEE Intelligent Vehicles Symposium – 2010 (IV'10) (2010)
  • Gongjun Yan, Old Dominion University
  • Weiming Yang, Old Dominion University
  • M. C. Weigle, Old Dominion University
  • Stephan Olariu, Old Dominion University
  • Danda B Rawat, Old Dominion University
The past decade has witnessed the confluence of Intelligent Transportation Systems (ITS) and Vehicular Ad hoc Networks (VANET) that promises to revolutionize incident detection and the timely dissemination of traffic-related information to the various interested parties. One of the key components is expected to be a Cooperative Collision Warning System (CCWS). Our main contribution is to derive analytical expressions for key CCWS metrics that rely on mobility information exchanged by various players. The feasibility of CCWS has been demonstrated in previous work; this paper analyzes the mobility parameters and derives the conditional probability of a collision. We begin by proposing a set of fundamental parameters for CCWS: conditional probability of collision, headway distance, driver reaction time, relative velocity and acceleration. Preliminary simulation results have demonstrated the effectiveness of our analytical derivations.
  • Ad hoc networks,
  • Automated highways,
  • Collision avoidance,
  • Information dissemination,
  • Probability,
  • Road safety
Publication Date
June, 2010
Citation Information
Gongjun Yan, Weiming Yang, M. C. Weigle, Stephan Olariu, et al.. "Cooperative Collision Warning through Mobility and Probability Prediction" Proceedings of the 2010 IEEE Intelligent Vehicles Symposium – 2010 (IV'10) (2010)
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