Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

Wang, Yihui (Beijing Jiaotong University)
Zhu, Songwei (Beijing Jiaotong University)
Li, Shukai (Beijing Jiaotong University)
Yang, Lixing (Beijing Jiaotong University)
De Schutter, B.H.K. (TU Delft Team Bart De Schutter)

2022

In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train control for minimizing train delays and cancellations. The upper layer manages the global objectives of the train operation, that is, minimizing the total train delays and providing guidance for the speed control in the lower layer. The objectives of the lower layer are to satisfy the running time requirements given by the upper layer and to save energy at the same time. The optimization problems in both levels of the hierarchical MPC framework are formulated as small-scale mixed integer linear programming problems, which can be solved efficiently by existing solvers. Particularly, the train control problem is solved in a distributed way for each train. Simulation analysis based on the real-life data of the Beijing-Shanghai high-speed railway shows that the proposed hierarchical MPC framework can meet the real-time requirements and reduce train delays effectively when compared with widely accepted strategies, for example, first-scheduled-first-serve and first-come-first-serve. Moreover, the proposed hierarchical MPC framework also provides good robustness performance for different disturbance scenarios.

Computational modeling
Delays
Hierarchical model predictive control (MPC)
high-speed railway
mixed integer linear programming (MILP)
Optimization
Rail transportation
Real-time systems
Safety
speed control
train rescheduling.
Velocity control

http://resolver.tudelft.nl/uuid:d75d8a7f-6e68-4164-ae4f-533fc57d7fab

https://doi.org/10.1109/TCST.2022.3140805

2023-07-01

1063-6536

IEEE Transactions on Control Systems Technology, 30 (6), 2344-2359

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2022 Yihui Wang, Songwei Zhu, Shukai Li, Lixing Yang, B.H.K. De Schutter