Dynamic Route Control Algorithm based on Autonomous Train Control System

It is impossible to respond to disturbance situations rapidly and effectively under manual train control system. This study aims to develop a dynamic route control (DRC) algorithm based on an autonomous train control system. The algorithm automatically reschedules train order, timetable and route in disturbance situations based on real-time monitoring information such as train location, speed and route. The DRC Algorithm consists of 5 steps: recognition of disturbance, classification of scenario, generation of alternative routes, prediction of delay time, and selection of final route. The simuation results based on the network and operation conditions of Shinbundang Line show that the DRC algorithm can reduce the average delay time by about 36% compared to First Come First Serve (FCFS) control method. The DRC algorithm is expected to contribute to a reduction of train delay by disturbance in urban railway networks.