Cooperative Collision Warning through mobility and probability prediction

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.

[1]  P. X. Song,et al.  Multivariate Dispersion Models Generated From Gaussian Copula , 2000 .

[2]  I. Olkin,et al.  Families of Multivariate Distributions , 1988 .

[3]  Ananda Sen,et al.  The Theory of Dispersion Models , 1997, Technometrics.

[4]  Chung-Ping Young,et al.  Cooperative Collision Warning Based Highway Vehicle Accident Reconstruction , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

[5]  Harry Joe,et al.  Parametric families of multivariate distributions with given margins , 1993 .

[6]  Nitin H. Vaidya,et al.  A vehicle-to-vehicle communication protocol for cooperative collision warning , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[7]  H D Robertson,et al.  A USERS' GUIDE TO POSITIVE GUIDANCE , 1977 .

[8]  Juan-Carlos Cano,et al.  Assessing the feasibility of a VANET driver warning system , 2009, PM2HW2N '09.

[9]  Tamer A. ElBatt,et al.  Cooperative collision warning using dedicated short range wireless communications , 2006, VANET '06.

[10]  Hazem H. Refai,et al.  Performance and Reliability of DSRC Vehicular Safety Communication: A Formal Analysis , 2009, EURASIP J. Wirel. Commun. Netw..

[11]  Raja Sengupta,et al.  Cooperative Collision Warning: Enabling Crash Avoidance with Wireless Technology , 2005 .

[12]  Gongjun Yan,et al.  Enhancing Automatic Incident Detection Techniques Through Vehicle To Infrastructure Communication , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[13]  Che Ros Ismail,et al.  Driver's car following headway on single carriageway roads , 2002 .

[14]  Yanming Feng,et al.  Multi-vehicles interaction graph model for cooperative collision warning system , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[15]  Han-Shue Tan,et al.  Error Analysis and Performance Evaluation of a Future-Trajectory-Based Cooperative Collision Warning System , 2009, IEEE Transactions on Intelligent Transportation Systems.

[16]  Chin-Diew Lai,et al.  Continuous Bivariate Distributions, Emphasising Applications , 1992 .

[17]  Satishs Iyengar,et al.  Multivariate Models and Dependence Concepts , 1998 .

[18]  Chung-Ping Young,et al.  Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing , 2010, Expert Syst. Appl..

[19]  Gongjun Yan,et al.  A probabilistic routing protocol in VANET , 2009, MoMM.

[20]  O. Nikodým.  Sur une généralisation des intégrales de M. J. Radon , 1930 .

[21]  A. Takahashi,et al.  Introduction of Honda ASV-2 (advanced safety vehicle-phase 2) , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).