A Matrix Translation Model for Evacuation Path Optimization

被引:2
|
作者
Huang, Zhongyi [1 ,2 ]
Fang, Zhiming [1 ,2 ]
Ye, Rui [2 ]
Chraibi, Mohcine [3 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Intelligent Emergency Management, Shanghai 200000, Peoples R China
[2] Univ Shanghai Sci & Technol, Business Sch, Shanghai 200000, Peoples R China
[3] Forschungszentrum Julich, Inst Adv Simulat, D-52425 Julich, Germany
基金
中国国家自然科学基金;
关键词
Optimization; Buildings; Microscopy; Pedestrians; Real-time systems; Heuristic algorithms; Genetic algorithms; Evacuation path optimization; matrix translation model; network of building; smart evacuation signs; Pathfinder; SIMULATION; DESIGN; TIME;
D O I
10.1109/TITS.2023.3312519
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In order to make the optimization of evacuation efficient enough for application, a Matrix Translation Model (MTM) has been developed. In MTM, a building is represented by using a network and the matrices attached to the network, and the crowd movement is simulated by translating matrices along the network. The performance of MTM was evaluated by comparison with a widely used commercial evacuation simulator, Pathfinder. The results showed that with accurate reproduction of the evacuation processes, MTM ran 10-15 times and 29-37 times faster than Pathfinder's flow-based (SFPE) and agent-based (Steering) modes, respectively. Furthermore, an evacuation path optimization method based on MTM is proposed by balancing the use of different exits. When run on a laptop, the path optimization of a building with 21 rooms and 944 occupants took less than 3 s. The optimized path was verified by Pathfinder, showing that approximately 50 s of the evacuation time was saved. MTM provides a new framework for evacuation simulation, i.e., the network defines the path connection, the matrix represents the spatial state, the macroscopic rules drive the matrix translation, and the microscopic rules limit the element transfer between the matrices. The path optimization algorithm developed based on the new framework offers new possibilities for real-time evacuation optimization of large buildings.
引用
收藏
页码:1374 / 1383
页数:10
相关论文
共 50 条
  • [1] Shortest Time Path Optimization Model in Cabin Evacuation
    Liu Chong
    Qiu Changhua
    2011 3RD WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING (ACC 2011), VOL 3, 2011, 3 : 270 - 275
  • [2] Path optimization for mass emergency evacuation based on an integrated model
    Wang, Ke
    Yuan, Weifeng
    Yao, Yao
    JOURNAL OF BUILDING ENGINEERING, 2023, 68
  • [3] Based On Evacuation Entropy Ant Colony Evacuation Path Optimization Model Considering Classified Crowds
    Wang, Fang
    Wang, Jian
    Chen, Xiaowei
    2019 3RD INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2019), 2019, 267
  • [4] A Model for Teaching English Translation in Universities Based on the Random Matrix Optimization Bell Translation Model
    Xie, Jiaojiao
    Li, Qiaohong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [5] Emergency Evacuation Path Planning of Passenger Ship Based on Cellular Ant Optimization Model
    Wang P.
    Zhang T.
    Xiao Y.
    Journal of Shanghai Jiaotong University (Science), 2020, 25 (06) : 721 - 726
  • [6] Optimization of Evacuation Path Decision with BIM and Psychological Support
    Wang, Ting
    Wang, Jia
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 814 - 821
  • [7] RESEARCH ON OPTIMIZATION METHOD OF PERSONNEL EVACUATION PATH BASED ON EVACUATION TIME AND RADIATION RISK
    Zhang, Jiemin
    Yan, Jin
    Gao, Jiaxuan
    Cao, Qun
    Wu, Nan
    Xue, Na
    PROCEEDINGS OF 2024 31ST INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, VOL 5, ICONE31 2024, 2024,
  • [8] On the Evacuation Path Allocation Model in Subway Station
    Zhong Ling-ling
    Li Yan
    Wang Zi-yang
    Jia Li-min
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 7304 - 7308
  • [10] An inexact optimization model for evacuation planning
    Wu, Chaozhong
    Huang, Gordon
    Yan, Xinping
    Cai, Yanpeng
    Li, Yongping
    Lv, Nengchao
    KYBERNETES, 2009, 38 (10) : 1676 - 1683