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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

improved cellular automaton ant colony optimization evacuation queuing theory model

Author Community:

  • [ 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

Reprint Author's Address:

  • [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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Source :

2019 CHINESE AUTOMATION CONGRESS (CAC2019)

ISSN: 2688-092X

Year: 2019

Page: 5359-5364

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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