Open AccessSimulation on Escaping Process in Closed Construction Based on Multiple Model
Author(s) -
Wenzhao Wang,
Wenjing Gao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/2/022055
Subject(s) - cellular automaton , judgement , process (computing) , ant colony optimization algorithms , computer science , point (geometry) , ant colony , operations research , automaton , order (exchange) , mathematical optimization , simulation , algorithm , mathematics , artificial intelligence , economics , geometry , finance , political science , law , operating system
In order to obtain the optimal escaping route in closed building and evaluate the escaping time, an evacuation model was established. The cellular automata model and ant colony algorithm was utilized in this process. Firstly, the cellular automata model was used to estimate escaping time. Using distances from individual locations to the exits to build risk of each point, then the evolving process was modified by factors like ability of individuals for innovation which can reflects escaper’s health, ratio of flurried people and the rules of people entering into next floor. Besides, ant colony algorithm method was used for the optimal routine. The equations of information judgement and accumulation was used, then take the broken down exits into consideration for an innovation. In the end, estimated escaping time and optimal evaluation route of Louvre was obtained by this model as a check and through the results some suggestions in evacuation was concluded.