Research for urban rail transit train regulation based on time Petri nets

Communication Based Train Control (CBTC) comes to be the trend of train control system in the future. The higher requirement on train regulation specially on real time ability of regulation is proposed for CBTC technology. First a Petri net model of train operation system for urban rail transit in moving block(MB) conditions is built. Because the quantum antibody code has high parallel performance in nature, the immune quantum optimization algorithm is used to search the global best solution. Experimental results show that the algorithm can overcome the problem that the ordinary search method is easy to trap in local optima to some extent; and speed up the search procession.