The Integration Framework of Train Scheduling and Control Based on Model Predictive Control

Abstract

The integration of railway signaling and communication realizes the bidirectional information transmission between trains and ground control centers. In order to take full advantage of such information integration, this paper presents the integration architecture of train scheduling and control based on the model predictive control with the hierarchical structure of top (macroscopic), middle (mesoscopic) and bottom (microscopic) levels. The top level realizes the real-time train scheduling, the middle level guarantees trains to run with safety distances and implement the real-time operation plans produced by the top level, and the bottom level accomplishes the energy control and drives the trains to run according to the set-points engendered by the middle level. The proposed hierarchical feedback control can optimize the train operation, shorten the departure interval, improve the railway line density, ensure the safety of railway transportation, and eventually fulfill the Real-time, Automatic, Predictive, Intelligent Scheduling and control for hIgh-Speed Trains (RAPISIST).