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作者:

Zhao, Xiaoyu (Zhao, Xiaoyu.) | Liu, Xiwei (Liu, Xiwei.) | Gong, Xiaoyan (Gong, Xiaoyan.) | Jing, Sifeng (Jing, Sifeng.) | Lie, Jian (Lie, Jian.)

收录:

CPCI-S

摘要:

Due to the increasing frequency of terrorist attacks all over the world, we designed an emergency evacuation model under the situation of the terrorist attacks. This model uses the Ant Colony Optimization (ACO) as a macro solution, the Cellular Automata (CA) as a micro-control method, and the Queuing Theory Model (QTM) to solve the queuing problem of escape exits. Based on the model we built, the optimized evacuation plan under different conditions were obtained.

关键词:

ant colony optimization evacuation improved cellular automaton queuing theory model

作者机构:

  • [ 1 ] [Zhao, Xiaoyu]Beijing Univ Technol, Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China
  • [ 2 ] [Liu, Xiwei]Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Qingdao Acad Intelligent Ind,Inst Smart Educ Syst, Beijing, Peoples R China
  • [ 3 ] [Gong, Xiaoyan]Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Qingdao Acad Intelligent Ind,Inst Smart Educ Syst, Beijing, Peoples R China
  • [ 4 ] [Jing, Sifeng]Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Qingdao Acad Intelligent Ind,Inst Smart Educ Syst, Beijing, Peoples R China
  • [ 5 ] [Lie, Jian]Beijing Univ Technol, Beijing, Peoples R China

通讯作者信息:

  • [Zhao, Xiaoyu]Beijing Univ Technol, Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China

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来源 :

2019 CHINESE AUTOMATION CONGRESS (CAC2019)

ISSN: 2688-092X

年份: 2019

页码: 5359-5364

语种: 英文

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