PL EN


2019 | 44 | 33-39
Article title

Emergency Evacuation Route Choice Based on Improved Ant Colony Algorithm

Content
Title variants
Languages of publication
EN
Abstracts
EN
In order to explore the optimal route choice for emergency evacuation in the campus, we propose a novel route choice method based on brittle characteristics of campus system and improved ant colony algorithm. Both optimal and worst-case emergency evacuation routes are simulated in the campus of Ningbo University of Technology. From the simulation, the length of optimal and worse-case evacuation routes between the starting point and eight exits can be obtained by adjusting the importance value of trip distance and the degree of conformity, under the condition of static relative importance of pheromone concentration to graph G. The optimal route of emergency evacuation in the campus can be obtained when the importance of trip distance is above 5 and the degree of conformity is above 0.3; while the worse-case route is obtained with the importance of trip distance above 5 and the degree of conformity below 0.5.
Year
Volume
44
Pages
33-39
Physical description
Contributors
author
  • Ningbo University of Technology, Chiny
  • Ningbo University of Technology, Chiny
author
  • Ningbo University of Technology, Chiny
  • Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu
  • Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu
author
  • Žilinská univerzita v Žiline
  • Žilinská univerzita v Žiline
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.mhp-34d7e133-0b05-46b1-9811-cb309e61c95f
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