The Model Analysis of VANET at Intersections Based on Markov Process

VANET (Vehicular Ad Hoc Network) is a special case about MANET (Mobile Ad Hoc Network), has also received extensive attention as a part of ITS(Intelligent Transportation System). Mobility model is the basic research in VANET, our objective is set up a vehicular mobility model reflecting the real-world scene. In this paper, we propose a mobility model at intersection and present mathematical analysis by the use of Markov analysis method, finally provide the validation and simulation. We compare the predicted TFO (Traffic flow occupancy) probability distribution to the observed results, and the errors between them are analyzed. Both simulation and real observation data are used to demonstrate the effectiveness of the method. The prediction results can help decide the red-time controlling strategies. The results show the proposed model is approximate to the intersection in actual urban environment and can be used as a practical one.