中国物理B ›› 2007, Vol. 16 ›› Issue (2): 359-364.doi: 10.1088/1009-1963/16/2/015

• GENERAL • 上一篇    下一篇

Energy-optimal control model for train movements

李克平, 高自友, 毛保华   

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2006-04-12 修回日期:2006-08-31 出版日期:2007-02-20 发布日期:2007-02-20
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No 70471088), the National Basic Research Program of China (Grant No 2006CB705500) and the Science and Technology Foundation of Beijing Jiaotong University (Grant No 2004SM026).

Energy-optimal control model for train movements

Li Ke-Ping(李克平), Gao Zi-You(高自友), and Mao Bao-Hua(毛保华)   

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
  • Received:2006-04-12 Revised:2006-08-31 Online:2007-02-20 Published:2007-02-20
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No 70471088), the National Basic Research Program of China (Grant No 2006CB705500) and the Science and Technology Foundation of Beijing Jiaotong University (Grant No 2004SM026).

摘要: In this paper, we propose a new cellular automaton (CA) model for train movement simulations under mixed traffic conditions. A kind of control strategy is employed for trains to reduce energy consumption. In the proposed CA model, the driver controls the train movements by using some updated rules. In order to obtain a good insight into the evolution behaviours of the rail traffic flow, we investigate the space--time diagram of the rail traffic flow and the trajectories of the train movements. The numerical simulation results demonstrate that the proposed CA model can well describe the dynamic behaviours of the train movements. Some complex phenomena of train movements can be reproduced, such as the train delay propagations, etc.

Abstract: In this paper, we propose a new cellular automaton (CA) model for train movement simulations under mixed traffic conditions. A kind of control strategy is employed for trains to reduce energy consumption. In the proposed CA model, the driver controls the train movements by using some updated rules. In order to obtain a good insight into the evolution behaviours of the rail traffic flow, we investigate the space--time diagram of the rail traffic flow and the trajectories of the train movements. The numerical simulation results demonstrate that the proposed CA model can well describe the dynamic behaviours of the train movements. Some complex phenomena of train movements can be reproduced, such as the train delay propagations, etc.

Key words: train movement, cellular automaton, moving-block

中图分类号:  (Granular models of complex systems; traffic flow)

  • 45.70.Vn
02.60.Cb (Numerical simulation; solution of equations) 02.60.Pn (Numerical optimization) 89.40.Bb (Land transportation)