Multi-Mode And Distributed Model Predictive Control For Whole Day Train Regulation

To further improve the operation efficiency of metro trains, a multi-mode and distributed model predictive control (DMPC) algorithm is proposed for whole day train regulation of metro transportation in presence of time-varying passenger arrival rate and disturbances. Firstly, a multi-mode switching train operation model in a metro line is built with a switched linear function describing dynamic passenger demand. Secondly, a DMPC-based strategy for train regulation is proposed to ensure the punctuality and security of whole day train operation. Furthermore, numerical examples are present and the progress and practicability of the proposed train regulation strategy are illustrated, revealing that the proposed algorithm can significantly reduce the computation time so as to improve the real-time regulation performance.