Stability Optimization and Verification Based on SPTG of Constant Distance Control Strategy in Train-Train Communication Train Control System

Next Generation Train Control System (NGTC) based on train-train communication can efficiently realize train tracking control through constant distance strategy. How to ensure the stability of the platoon with the control strategy is very crucial since the leader train action is random in the platoon control. Based on Stochastic Priced Timed Game (SPTG), we propose a train-train communication control strategy modeling and verification method. Firstly, according to the control strategy's requirements, a platoon control model including a leader train and follower trains are established and the stability are verified by SPTG automata. Secondly, using time expansion as the cost function, the optimal operation strategy of the platoon is obtained through combination of the cooperative game of the platoon's SPTG automata model and Q-learning. Finally, the stability optimization objection of the platoon is simulated in single-train operation, two-train operation and multi-train operation tracking scenarios. Compared with the random operation of the platoon, the result shows that this method can make the platoon stability error smaller.