Real-time Rescheduling for Multi-section High-speed Railway Trains Based on Simulation Optimization

When the operation of high-speed trains is affected by emergencies and deviates from the scheduled timetable, the density of trains operation increases. It is difficult to describe the train rescheduling problem using a mathematical scheduling model uniformly from a practical point of view, since there are many factors such as the complexity of network and the mutual constraints of railway resources for trains between sections. To address this problem, this paper proposes a multi-sectional dynamic rescheduling optimization method for high-speed trains based on simulation optimization. The paper designs a high-speed railway operation simulation platform to deduce the actual train operation process of complex networks with multiple sections and to obtain complex section reschedule and real evaluation. In order to solve the expensive simulation optimization problem, this paper proposes a data expansion method based on the operating sequence of high-speed trains and a multi-stage intelligent prediction method to realize realtime and fast decision making for multi-section train rescheduling problems.