The research on the performance enhancement with the application of V2V in CBTC systems

Communication-based Train Control (CBTC) technologies are gradually adopted in urban rail transit systems, which can supply high efficiency, safety and capacity and use the bidirectional train ground wireless communication to transfer control data between trains and wayside equipment. However, there are some challenges due to the inherent characteristics of wireless communications. Although the redundant homogeneous networks are designed to increase the reliability, the common cause failures cannot be ignored caused by the similar deep fading features of channels due to the consistent deployment. As a result, an integrated architecture of vehicle-to-vehicle (V2I) and vehicle-to-infrastructure (V2I) is proposed in the paper which can reduce the probabilities of common cause failures. With the V2V and V2I channel models, the cognitive control is applied to optimize the selection polices which can bring the best channel quality. Therefore, the transmission performance of wireless communication can be improved. Based on the principles of cognitive control, the train control performance is taken as a part of the cost function. Hence, the operation efficiency of CBTC systems can be enhanced. Simulation results show that the proposed new architecture of CBTC wireless communications can significantly improve the overall performance of CBTC systems.