Research on the optimization of train headway for the high-speed railway network

The difference of speed, headway and stop pattern increases the difficulty of the calculation & evaluation for railway capacity, for which the headway is the basis. It's the critical point that how to use the obtained minimum train headway. By analyzing the likely delay and its propagation during train run under the organized transportation mode, this paper studies the optimization of the train headway in the planning phase under the planned transportation mode, constructs the multi-object & non-linear model THOP oriented by the maximization of the reliability & minimization of the heterogeneity, and proposes the multi cultural - particle swarm algorithm for the solution. The optimized result for the virtual case is demonstrated.