Distributed train-group modeling and simulation based on cellular automaton and multi-agent

Authors:
Zifeng Wang;Li Ruan;Limin Xiao;Yao Zheng;Yunfan Dong
Affiliations:
School of Computer Science and Engineering, Beihang University, Beijing, China and State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China and State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Year:
2011

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Abstract

Based on cellular automaton and multi-agent model, we propose a novel hybrid model for distributed simulation of train-group in the railway traffic. An improved cellular automaton model is designed for simulating the underlying structure of the railroad and a multi-agent model is used for dynamic scheduling of the train-group. The combination of both models answers for the distributed simulation of train-group on the railroad. Simulation and scheduling strategies are proposed to analyze and solve the problems about safety operation and dynamic scheduling. In the end, we analyze the characteristics of train flows and dealing with the emergencies of the railroad net. Experimental results show that the hybrid model is proper and efficient for distributed simulation of train-group of the railroad net.