Strategy of train operation under maximum train capacity in mass rapid transit systems

This paper presents an approach to optimize the running speed code of each signaling block between two neighboring stations of mass rapid transit (MRT) systems with fixed-block signaling (FBS) system. Its objective is to minimize train energy consumption under maximum train capacity with considerations of gradients of alignment, minimum headway of automatic train operation (ATO) system and train average speed and to reduce train peak power under proper selection of running speed code of each signaling block. The speed codes and the shortest block length are searched by using genetic algorithms (GA) with different aspects. Dynamic programming (DP) is used to determine the optimal combination of running speed code of each signaling block.