Coordinated cruise control for high-speed train movements based on a multi-agent model

This paper investigates the coordinated cruise control strategy for multiple high-speed trains’ movement. The motion of an ordered set of high-speed trains running on a railway line is modeled by a multi-agent system, in which each train communicates with its neighboring trains to adjust its speed. By using the potential fields and LaSalles invariance principle, we design a new coordinated cruise control strategy for each train based on the neighboring trains’ information, under which each train can track the desired speed, and the headway distances between any two neighboring trains are stabilized in a safety range. Numerical examples are given to illustrate the effectiveness of the proposed methods.

[1]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[2]  B. Schutter,et al.  Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach , 2013 .

[3]  Flavio Ciccarelli,et al.  Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand , 2012 .

[4]  J. Toner,et al.  Flocks, herds, and schools: A quantitative theory of flocking , 1998, cond-mat/9804180.

[5]  George J. Pappas,et al.  Flocking in Fixed and Switching Networks , 2007, IEEE Transactions on Automatic Control.

[6]  Xuesong Zhou,et al.  Single-Track Train Timetabling with Guaranteed Optimality: Branch-and-Bound Algorithms with Enhanced Lower Bounds , 2007 .

[7]  Laura Menini,et al.  Input/output decoupling problems for high speed trains , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[8]  Matteo Fischetti,et al.  Fast Approaches to Improve the Robustness of a Railway Timetable , 2009, Transp. Sci..

[9]  Xiaohua Xia,et al.  Cruise control scheduling of heavy haul trains , 2006, IEEE Transactions on Control Systems Technology.

[10]  Xuesong Zhou,et al.  Optimizing urban rail timetable under time-dependent demand and oversaturated conditions , 2013 .

[11]  Xiang Li,et al.  Optimizing trains movement on a railway network , 2012 .

[12]  Baigen Cai,et al.  Automatic Train Control System Development and Simulation for High-Speed Railways , 2010, IEEE Circuits and Systems Magazine.

[13]  Yun Ping Sun,et al.  Mixed H2/H cruise controller design for high speed train , 2001 .

[14]  Yongduan Song,et al.  Computationally Inexpensive Tracking Control of High-Speed Trains With Traction/Braking Saturation , 2011, IEEE Transactions on Intelligent Transportation Systems.

[15]  Marcelo Götz,et al.  Distributed Real-Time Control of Railway Crossings Using Multi-Agent Technology , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[16]  Ziyou Gao,et al.  Robust sampled-data cruise control scheduling of high speed train , 2014 .

[17]  Rongfang Rachel Liu,et al.  Energy-efficient operation of rail vehicles , 2003 .

[18]  Yonghua Zhou,et al.  Coordinated Control among High-Speed Trains Based on Model Predictive Control , 2011 .

[19]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[20]  Seyed Kamal-e-ddin Mousavi Mashhadi,et al.  Robust adaptive cruise control of high speed trains. , 2014, ISA transactions.

[21]  S. P. Gordon,et al.  Coordinated train control and energy management control strategies , 1998, Proceedings of the 1998 ASME/IEEE Joint Railroad Conference.

[22]  Yusin Lee,et al.  A heuristic for the train pathing and timetabling problem , 2009 .

[23]  Lucas Barcelos de Oliveira,et al.  Multi-agent Model Predictive Control of Signaling Split in Urban Traffic Networks ∗ , 2010 .

[24]  Xiaohua Xia,et al.  Speed regulation with measured output feedback in the control of heavy haul trains , 2008, Autom..

[25]  Ziyou Gao,et al.  An improved equation model for the train movement , 2007, Simul. Model. Pract. Theory.

[26]  Jorge Casillas,et al.  Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model , 2014 .

[27]  Chengxuan Cao,et al.  Multi-objective optimization of train routing problem combined with train scheduling on a high-speed railway network , 2014 .

[28]  J. Toner,et al.  Hydrodynamics and phases of flocks , 2005 .

[29]  李克平,et al.  Energy-optimal control model for train movements , 2007 .

[30]  Chung-Fu Chang,et al.  Optimising train movements through coast control using genetic algorithms , 1997 .

[31]  Erhan Kozan,et al.  Optimal scheduling of trains on a single line track , 1996 .

[32]  Jürgen Lind,et al.  Using a multi-agent approach to optimise the train coupling and sharing system , 2001, Eur. J. Oper. Res..

[33]  Lixing Yang,et al.  A Control Simulation Method of High-Speed Trains on Railway Network with Irregular Influence , 2011 .