Journal of Shandong University(Engineering Science) ›› 2021, Vol. 51 ›› Issue (3): 1-6.doi: 10.6040/j.issn.1672-3961.0.2020.259

• Machine Learning & Data Mining •     Next Articles

Evacuation simulation model based on multi-target driven artificial bee colony algorithm

Xinlu ZONG(),Jiayuan DU   

  1. School of Computer Science and Technology, Hubei University of Technology, Wuhan 430068, Hubei, China
  • Received:2020-06-30 Online:2021-06-20 Published:2021-06-24

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Abstract:

An evacuation simulation model based on multi-target driven artificial bee colony algorithm was presented. Based on the artificial bee colony algorithm, the visual field was used for each following bee to choose the individual with the best fitness value in the field as its visual leading bee and avoid blind choice. A multi-target driven artificial bee colony algorithm was proposed. The moving direction of each following bee was affected by multiple targets, including inertial leading bee, global optimal bee, historical optimal bee and visual leading bee. The experimental results showed that the multi-target driven artificial bee colony algorithm had higher efficiency and achieved better performance and more reasonable distribution in the case of larger number of evacuees. The model and algorithm presented could effectively improve evacuation efficiency and was suitable for the evacuation problem in multi-obstacle situation.

Key words: evacuation model, artificial bee colony algorithm, multi-target driving, cellular automata, visual leading

CLC Number: 

  • TP391

Fig.1

Moore neighborhood"

Fig.2

Flow chart of MDABC algorithm"

Table 1

The results with different parameter settings"

ω c1 c2 c3 平均路径长度/m 疏散时间/s
1.0 1.0 1.0 1.0 26.070 29.5
2.0 1.0 1.0 1.0 26.585 32.5
1.0 2.0 1.0 1.0 26.055 29.0
1.0 1.0 2.0 1.0 25.915 28.5
1.0 1.0 1.0 2.0 25.960 29.0
1.0 1.0 1.0 3.0 25.835 28.0
1.0 1.0 1.0 4.0 25.820 28.5
1.0 1.0 1.0 5.0 25.950 28.5
1.0 1.0 1.0 1.5 26.070 29.5
0.7 1.0 1.0 2.0 26.075 29.5
0.5 1.0 1.0 2.0 25.965 28.5
0.2 1.0 1.0 2.0 26.005 29.0
1.0 2.0 1.0 1.0 26.000 29.0
1.0 3.0 1.0 1.0 26.035 29.0
1.0 1.0 3.0 1.0 26.140 29.5
1.0 1.0 5.0 1.0 26.120 30.0
1.0 1.5 1.5 2.0 25.915 28.5

Fig.3

Evacuation efficiency curves with or without visual guidance"

Fig.4

Evacuation scenario"

Fig.5

Relationship between evacuation time and number of pedestrians in different exit location"

Fig.6

Evacuation efficiency of four algorithms"

Fig.7

Comparison of total evacuation time of four methods under different number of pedestrians"

Fig.8

Evacuation simulation process (t=20 s)"

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