Simulation-based optimization of emergency evacuation strategy in ultra-high-rise buildings

被引:30
作者
Ding, Ning [1 ]
Zhang, Hui [2 ]
Chen, Tao [2 ]
机构
[1] Peoples Publ Secur Univ China, Sch Criminal Invest & Counterterror, Beijing, Peoples R China
[2] Tsinghua Univ, Inst Publ Safety Res, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
SBO; Building evacuation; Optimization; High-rise building; CROWD; FLOW; MODELS; FIELD;
D O I
10.1007/s11069-017-3013-1
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Emergency evacuation in high-rise buildings is a crucial problem. The evacuation strategy of using stairs and evacuation elevators should be optimized. In this paper, simulation-based optimization method is used to optimize the evacuation strategy of using stairs and elevators in high-rise buildings. The stair simulation is based on a cellular automata model, and several typical pedestrians' walk preferences are considered in this model. In the simulation, evacuation elevators can arrive at the refuge floors, and the scheduling of the elevators is optimized based on the GA algorithm. The simulation-based optimization is designed as a two-level problem: The upper level is a strategy level; the lower level is an operation level. In the study case, the evacuation strategy of a 100-floor ultra-high-rise office building is optimized. We find that if evacuees follow the traditional stair evacuation strategy, the evacuation time is 42.6 min. After optimization, the evacuation time of optimal strategy by using both stairs and elevators is 25.1 min. Compared with the traditional stair evacuation strategy, the efficiency of evacuation is improved by 41.1%. It is also found that the merging behavior in stairwells will decrease the velocity of the pedestrian flow. Stairs are still the main egress, and evacuation elevators are an assistant egress during high-rise building evacuation.
引用
收藏
页码:1167 / 1184
页数:18
相关论文
共 46 条
  • [1] A simulation-based optimization framework for product development cycle time reduction
    Abdelsalam, HME
    Bao, HP
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2006, 53 (01) : 69 - 85
  • [2] Al-Aomar R, 2006, J FRANKLIN I, V343, P372, DOI 10.1016/j.jfranklin.2006.02.019
  • [3] A simulation-based Genetic Algorithm approach for the quay crane scheduling under uncertainty
    Al-Dhaheri, Noura
    Jebali, Aida
    Diabat, Ali
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2016, 66 : 122 - 138
  • [4] State of the art in simulation-based optimisation for maintenance systems
    Alrabghi, Abdullah
    Tiwari, Ashutosh
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2015, 82 : 167 - 182
  • [5] A Review of Simulation-based Optimisation in Maintenance Operations
    Alrabghi, Abdullah
    Tiwari, Ashutosh
    [J]. UKSIM-AMSS 15TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM 2013), 2013, : 353 - 358
  • [6] Simulation optimization: a review of algorithms and applications
    Amaran, Satyajith
    Sahinidis, Nikolaos V.
    Sharda, Bikram
    Bury, Scott J.
    [J]. 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2014, 12 (04): : 301 - 333
  • [7] Microscopic pedestrian simulation model combined with a tactical model for route choice behaviour
    Asano, Miho
    Iryo, Takamasa
    Kuwahara, Masao
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2010, 18 (06) : 842 - 855
  • [8] Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)
    Delgarm, N.
    Sajadi, B.
    Kowsary, F.
    Delgarm, S.
    [J]. APPLIED ENERGY, 2016, 170 : 293 - 303
  • [9] Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation
    Duh, Jiunn-Der
    Brown, Daniel G.
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2007, 31 (03) : 253 - 281
  • [10] Simulation of Evacuation Processes in a Large Classroom Using an Improved Cellular Automaton Model for Pedestrian Dynamics
    Fu, Ling
    Luo, Jixiong
    Deng, Minyi
    Kong, Lingjiang
    Kuang, Hua
    [J]. INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION, 2012, 31 : 1066 - 1071