Pedestrian-vehicle Mixed Evacuation Model Based on Multi-particle Swarm Optimization

被引:0
作者
Zong, Xinlu [1 ]
Jiang, Yingli [1 ]
机构
[1] Hubei Univ Technol, Sch Comp Sci & Technol, Wuhan 430068, Peoples R China
来源
2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE) | 2016年
关键词
pedestrian-vehicle mixed evacuation; multi-particle swarm optimization algorithm; multi-objective optimization;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper a pedestrian-vehicle mixed evacuation model is presented for the large common place which involves both pedestrians and vehicles. The total evacuation time and total saturation degree of the road network are optimized simultaneously. A multi-particle swarm optimization algorithm is proposed to simulate and optimize the interaction and cooperation between pedestrians and vehicles. The experimental results show that this approach can effectively solve the mixed evacuation problem in the region integrated building and roads. The proposed model and algorithm can achieve better efficiency and lower congestion level than using basic particle swarm optimization.
引用
收藏
页码:568 / 572
页数:5
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