Multiple V2V communication mode competition method in cooperative vehicle infrastructure system

摘要

Multiple communication modes can be used to communicate between vehicle-to-vehicle (V2V) & vehicle-to-infrastructure (V2I) in cooperative vehicle infrastructure system, such as wireless fidelity (Wi-Fi), dedicated short range communication (DSRC), Third-Generation (3G) and so on. However, it is difficult to choose the most appropriate communication mode because of the complexity of application scenario of cooperative vehicle infrastructure system. It is necessary to study multi-mode communication competition optimization method in cooperative vehicle infrastructure system. The multi-mode communication competition mechanism which can select optimal communication mode and improve communication efficiency based on adaptive neural network is proposed in this paper. Moreover, the proposed model can be used to verify and evaluate the competition mechanism in OPNET Modeler. By showing the results of simulation, the efficiency of the proposed model is illustrated. The results indicate that the competition mechanism can fulfill the prediction of the optimal communication mode when the vehicle density and vehicle speed are inputted, and the accuracy rate is about 90.6%. It can be seen from the results of all traffic simulation scenarios that the average transmission delay is 59ms, the average throughput is 104 862 bits/s, and the average packet loss rate is 2.1%.