Modeling the Impact of inter-vehicle communications on Chain Collision Avoidance

چکیده مقاله

We investigate the impact of utilizing inter-vehicle communication on the chain accident in which several vehicles collide on highways. We aim at studying the effect of vehicles characteristics as well as driver behavior on the probability of accidents. We use a Markov chain for modeling the problem using which we obtain the tail probability of accidents in terms of above-mentioned characteristics. Since in practice the vehicular communications may be popularized gradually, the effect of technology penetration rate is also taken into account in the proposed model. The proposed model also takes advantages of real-world data which is collected from CVT-project test-bed. The result of Monte Carlo simulations reveals that the proposed model has an acceptable accuracy. Using the proposed model, one can evaluate the influence of different road traffic parameters (i.e., vehicle density, velocities, and decelerations) and network parameters (i.e., delay, penetration rate) on the probability of chain collisions.