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

  • Zifeng Wang*
  • , Li Ruan
  • , Limin Xiao
  • , Yao Zheng
  • , Yunfan Dong
  • *Corresponding author for this work
  • Beihang University
  • Beijing Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
Pages146-154
Number of pages9
EditionPART 1
DOIs
StatePublished - 2011
Event3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011 - Taiyuan, China
Duration: 24 Sep 201125 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7002 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011
Country/TerritoryChina
CityTaiyuan
Period24/09/1125/09/11

Keywords

  • cellular automaton
  • distributed simulation
  • multi-agent
  • train group

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