Train cooperative control for headway adjustment in high-speed railways

In high-speed railways equipped with advanced train control systems, the train-to-train or train-to-ground communication technologies enable the trains to follow their former trains with a constant headway. Due to some disturbances (e.g., weather condition, train re-routing), the train following headway may be inconsistent between successive trains, which requires real-time headway adjustment to coordinate train operations by selecting proper speed curves to improve system performances (e.g., line capacity, energy consumption, power demand, etc) with constrains of safety, punctuality and comfort. This paper proposes a multi-train control model based on cooperative control to adjust train following headway. In particular, this train cooperative control model considers several practical constraints, e.g., train controller output constraints, safe train following distance. Then, this control problem is solved through a rolling horizon approach by calculating the Riccati equation with Lagrangian multipliers. Finally, two case studies are given through simulation experiments. The simulation results are analyzed which demonstrate the effectiveness of the proposed approach.

[1]  Ziyou Gao,et al.  Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach , 2016 .

[2]  W-S Lin,et al.  Automatic train regulation for metro lines using dual heuristic dynamic programming , 2010 .

[3]  Mark A. Turnquist,et al.  STRATEGIES FOR IMPROVING RELIABILITY OF BUS TRANSIT SERVICE , 1981 .

[4]  Ryo Takagi Synchronisation control of trains on the railway track controlled by the moving block signalling system , 2012 .

[5]  Yu-Chi Chung,et al.  From timetabling to train regulation - a new train operation model , 2005, Inf. Softw. Technol..

[6]  Mark A. Turnquist,et al.  EVALUATING POTENTIAL EFFECTIVENESS OF HEADWAY CONTROL STRATEGIES FOR TRANSIT SYSTEMS , 1980 .

[7]  Daniel Emery Reducing the headway on high-speed lines , 2009 .

[8]  Andrew E. B. Lim,et al.  Linearly Constrained LQ and LQG Optimal Control , 1996 .

[9]  Wei-Song Lin,et al.  Adaptive critic design of automatic train regulation of MRT system , 2008, 2008 IEEE International Conference on Industrial Technology.

[10]  Eckehard Schnieder,et al.  Dispatching of train operations using genetic algorithms , 2004 .

[11]  Hairong Dong,et al.  Cooperative Control Synthesis and Stability Analysis of Multiple Trains Under Moving Signaling Systems , 2016, IEEE Transactions on Intelligent Transportation Systems.

[12]  Meng Wang,et al.  Rolling horizon control framework for driver assistance systems. Part I: Mathematical formulation and non-cooperative systems , 2014 .

[13]  E. Schnieder,et al.  Automated Dispatching Of Train OperationsUsing Genetic Algorithms , 2004 .

[14]  L. S. Pontryagin,et al.  Mathematical Theory of Optimal Processes , 1962 .

[15]  Ziyou Gao,et al.  Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches , 2017 .

[16]  Steven I-Jy Chien,et al.  Improving Transit Service Quality and Headway Regularity with Real-Time Control , 2001 .

[17]  G. F. Newell,et al.  Control Strategies for an Idealized Public Transportation System , 1972 .

[18]  Meng Wang,et al.  Rolling horizon control framework for driver assistance systems. Part II: Cooperative sensing and cooperative control , 2014 .

[19]  Yuan Cao,et al.  An optimization approach for real-time headway control of railway traffic , 2013, 2013 IEEE International Conference on Intelligent Rail Transportation Proceedings.

[20]  Georges Bastin,et al.  Traffic modeling and state feedback control for metro lines , 1991 .

[21]  Petros A. Ioannou,et al.  Positive Train Control With Dynamic Headway Based on an Active Communication System , 2015, IEEE Transactions on Intelligent Transportation Systems.

[22]  Wei-Song Lin,et al.  Metro Traffic Regulation by Adaptive Optimal Control , 2011, IEEE Transactions on Intelligent Transportation Systems.

[23]  Bart De Schutter,et al.  Robust Model Predictive Control for Train Regulation in Underground Railway Transportation , 2016, IEEE Transactions on Control Systems Technology.

[24]  C. S. Chang,et al.  Online rescheduling of mass rapid transit systems: fuzzy expert system approach , 1996 .