Emergency Evacuation Route Choice Based on Improved Ant Colony Algorithm

• Authors: Wang Bo , Zhou Ling Bo Jibiao , Hu Danjuan , Pawęska Marcin , Šimák Ladislav , Ristvej Jozef , Jánošíková Michaela
• 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.

Keywords

EN

route choice; ant colony algorithm; brittleness; emergency evacuation

• Publisher: Międzynarodowa Wyższa Szkoła Logistyki i Transportu
• Journal: Logistics and Transport
• Year: 2019
• Volume: 44
• Pages: 33-39

Contributors

author

Wang Bo

• Ningbo University of Technology, Chiny

author

Zhou Ling Bo Jibiao

• Ningbo University of Technology, Chiny

author

Hu Danjuan

• Ningbo University of Technology, Chiny

author

Pawęska Marcin

• Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu

author

Šimák Ladislav

• Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu

author

Ristvej Jozef

• Žilinská univerzita v Žiline

author

Jánošíková Michaela

• Žilinská univerzita v Žiline