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作 者:LI KePing GAO ZiYou YANG LiXing
出 处:《Science China(Technological Sciences)》2007年第6期765-773,共9页中国科学(技术科学英文版)
基 金:Supported by the Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT0605);the National Natural Science Foundation of China (Grant Nos. 60634010, 60776829);the Program for New Century Excellent Talents in University (Grant No. NCET-06-0074) ;the Key Project of Ministry of Education of China (Grant No. 107007)
摘 要:Train control system plays a key role in railway traffic. Its function is to manage and control the train movement on railway networks. In our previous works, based on the cellular automata (CA) model, we proposed several models and algorithms for simulating the train movement under different control system conditions. However, these models are only suitable for some simple traffic conditions. Some basic fac- tors, which are important for train movement, are not considered. In this paper, we extend these models and algorithms and give a unified formula. Using the pro- posed method, we analyze and discuss the space-time diagram of railway traffic flow and the trajectories of the train movement. The numerical simulation and analytical results demonstrate that the unified CA model is an effective tool for simulating the train control system.Train control system plays a key role in railway traffic. Its function is to manage and control the train movement on railway networks. In our previous works, based on the cellular automata (CA) model, we proposed several models and algorithms for simulating the train movement under different control system conditions. However, these models are only suitable for some simple traffic conditions. Some basic fac- tors, which are important for train movement, are not considered. In this paper, we extend these models and algorithms and give a unified formula. Using the pro- posed method, we analyze and discuss the space-time diagram of railway traffic flow and the trajectories of the train movement. The numerical simulation and analytical results demonstrate that the unified CA model is an effective tool for simulating the train control system.
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