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.
Received: 12 April 2006
Revised: 31 August 2006
Accepted manuscript online:
PACS:
45.70.Vn
(Granular models of complex systems; traffic flow)
Fund: 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).
Cite this article:
Li Ke-Ping(李克平), Gao Zi-You(高自友), and Mao Bao-Hua(毛保华) Energy-optimal control model for train movements 2007 Chinese Physics 16 359
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