A Two-Stage Method for Building Evacuation With Discrete Time Model

被引:0
|
作者
Zhang, Yuandong [1 ,2 ]
Zhai, Qiaozhu [1 ,2 ]
Xu, Zhanbo [1 ,2 ]
Wu, Jiang [1 ,2 ]
Guan, Xiaohong [1 ,2 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Automat Sci & Engn, Xian 710049, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Key Lab Intelligent Networks & Network Secur, Minist Educ, Xian 710049, Shaanxi, Peoples R China
[3] Tsinghua Univ, Ctr Intelligent & Networked Syst, Dept Automat, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Discrete time system; flow model; large-crowd evacuation; two-stage method; OPTIMIZATION;
D O I
10.1109/TASE.2024.3440265
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper analyzes the evacuation process of people in a building, and constructs a discrete-time evacuation model that can accurately describe the evacuation problem according to evacuation scenarios. In the discrete time framework, the evacuation policy is dynamically adjusted based on the dynamic transfer of people. For the large-scale evacuation problem, this paper proposes a two-stage method to solve the evacuation policy of edge and node separately, which improves the solving efficiency. The results of case study prove the reliability and efficiency of our method. Note to Practitioners-In this paper, considering the influence of effective edge width and crowd density on the moving speed of people, a discrete time based evacuation model is constructed which accurately reflects the evacuation process. A two-stage method is proposed to solve the difficult problem of large-scale evacuation. The evacuation policy obtained by the two-stage method will be used as the evacuation plan, and the evacuation plan of different evacuation scenarios will be counted. When an evacuation event occurs, the distribution of people is matched with the scenario in the database, and the evacuation plan of the closest scenario is selected for evacuation.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] A two-stage model for multiple time series data of counts
    Berhane, K
    Thomas, DC
    [J]. BIOSTATISTICS, 2002, 3 (01) : 21 - 32
  • [22] A simple two-stage model predicts response time distributions
    Carpenter, R. H. S.
    Reddi, B. A. J.
    Anderson, A. J.
    [J]. JOURNAL OF PHYSIOLOGY-LONDON, 2009, 587 (16): : 4051 - 4062
  • [23] The method of characteristics applied to a stochastic two-stage model of carcinogenesis
    Quinn, DW
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 1997, 25 (07) : 1 - 13
  • [24] Two-stage optimization for building energy management
    Gruber, Jorn K.
    Prodanovic, Milan
    [J]. 6TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS, 2014, 62 : 346 - 354
  • [25] Developing a Two-Stage Supply Chain Model using a Discrete Time Markov Chain Model during Supply Chain Disruptions
    Putthakosa, Suchera
    Hirotani, Daisuke
    [J]. INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2023, 22 (04): : 449 - 462
  • [26] Drying cracking pattern analysis using a simple two-stage drying model and a discrete model
    Delaplace, A.
    Noyalet, H.
    [J]. COMPUTATIONAL MODELLING OF CONCRETE STRUCTURES, VOL 2, 2014, : 659 - 665
  • [27] Adaptive two-stage LQ reliable control of uncertain discrete-time systems
    Hsieh, CS
    [J]. PROCEEDINGS OF THE 2004 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, VOL 1 AND 2: SOC DESIGN FOR UBIQUITOUS INFORMATION TECHNOLOGY, 2004, : 505 - 508
  • [28] Optimal Control of Two-Stage Discrete Event Systems with Real-Time Constraints
    Jianfeng Mao
    Christos G. Cassandras
    [J]. Discrete Event Dynamic Systems, 2007, 17 : 505 - 529
  • [29] Optimal control of two-stage discrete event systems with real-time constraints
    Mao, Jianfeng
    Cassandras, Christos G.
    [J]. DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS, 2007, 17 (04): : 505 - 529
  • [30] Optimal control of two-stage discrete event systems with real-time constraints
    Mao, Jianfeng
    Cassandras, Christos G.
    [J]. WODES 2006: EIGHTH INTERNATIONAL WORKSHOP ON DISCRETE EVENT SYSTEMS, PROCEEDINGS, 2006, : 125 - +