Research on Emergency Evacuation Route Choice in the Campus

  • Lin Guo
  • Jibiao ZhouEmail author
  • Sheng Dong
  • Shuichao Zhang
  • Feifei Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)


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.


Route choice Ant colony algorithm Brittleness Emergency evacuation 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Lin Guo
    • 1
  • Jibiao Zhou
    • 1
    Email author
  • Sheng Dong
    • 1
  • Shuichao Zhang
    • 1
  • Feifei Xu
    • 1
  1. 1.School of Civil and Transportation EngineeringNingbo University of TechnologyNingboChina

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