The Group Evacuation Behavior Based on Fire Effect in the Complicated Three-Dimensional Space
Author(s) -
Jun Hu,
Huijun Sun,
Ge Gao,
Juan Wei,
Lei You
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/949280
Subject(s) - cellular automaton , pedestrian , simulation , position (finance) , group (periodic table) , moment (physics) , space (punctuation) , computer science , scale (ratio) , engineering , transport engineering , algorithm , geography , physics , classical mechanics , cartography , finance , quantum mechanics , economics , operating system
In order to effectively depict the group evacuation behavior in the complicated three-dimensional space, a novel pedestrian flow model is proposed with three-dimensional cellular automata. In this model the calculation methods of floor field and fire gain are elaborated at first, and the transition gain of target position at the next moment is defined. Then, in consideration of pedestrian intimacy and velocity change, the group evacuation strategy and evolution rules are given. Finally, the experiments were conducted with the simulation platform to study the relationships of evacuation time, pedestrian density, average system velocity, and smoke spreading velocity. The results had shown that large-scale group evacuation should be avoided, and in case of large pedestrian density, the shortest route of evacuation strategy would extend system evacuation time
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom