Journal of System Simulation
Abstract
Abstract: Aiming at the problem of dynamic planning of evacuation paths in comprehensive building fires, with the shortest escape time required for evacuees as the goal, considering the impact of fire products and crowd density on the evacuation speed of personnel, an evacuation path planning model based on improved ant colony algorithm is constructed. A evacuation network data model composed of an obstacle vertex grid is established, the inspiration function of the ant colony algorithm and the deadlock processing strategy are improved, the explosion operator in the fireworks algorithm is introduced to optimize the ant path, and a comprehensive building is used as an example for simulation experiments. The results show that the model can not only avoid evacuation paths through the dangerous area, but also adjust the evacuation path according to the construction environment and personnel distribution, which improves the safety of personnel evacuation path.
Recommended Citation
Liang, Jiangtao and Wang, Huiqin
(2022)
"Study on Building Fire Evacuation Path Planning Based on Improved Ant Colony Algorithm,"
Journal of System Simulation: Vol. 34:
Iss.
5, Article 11.
DOI: 10.16182/j.issn1004731x.joss.20-0978
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss5/11
First Page
1044
Revised Date
2021-02-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0978
Last Page
1053
CLC
TP391.9
Recommended Citation
Jiangtao Liang, Huiqin Wang. Study on Building Fire Evacuation Path Planning Based on Improved Ant Colony Algorithm[J]. Journal of System Simulation, 2022, 34(5): 1044-1053.
DOI
10.16182/j.issn1004731x.joss.20-0978
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