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Research on Emergency Evacuation Route Choice in the Campus

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

Abstract

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

Route choice Ant colony algorithm Brittleness Emergency evacuation 

References

  1. 1.
    Guo R-Y, Huang H-J, Wong SC (2012) Route choice in pedestrian evacuation under conditions of good and zero visibility: Experimental and simulation results. Transp Res Part B: Methodol 46(6):669–686CrossRefGoogle Scholar
  2. 2.
    Pan X, Han CS, Dauber K et al (2007) A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. AI & Soc 22(2):113–132CrossRefGoogle Scholar
  3. 3.
    Wang A, Dong B, Yin B et al (2012) Model and simulation on passenger behaviors in comprehensive railway passenger hubs. J Transp Syst Eng Inf Technol 5(1):026–035Google Scholar
  4. 4.
    Zhang Q, Han B, Li D (2008) Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations. Transp Res Part C: Emerg Technol 16(5):635–649CrossRefGoogle Scholar
  5. 5.
    Syed AT, Hassanain MA (2013) A simulation model for emergency evacuation time of a library facility using evacnet. Struct Surv 31(2):75–92CrossRefGoogle Scholar
  6. 6.
    Helbing D, Molnar P (1995) Social force model for pedestrian dynamics. Phys Rev E 51(5):4282–4297CrossRefGoogle Scholar
  7. 7.
    Seyfried A, Steffen B, Lippert T (2006) Basics of modelling the pedestrian flow. Phys A 368(1):232–238CrossRefGoogle Scholar
  8. 8.
    Li Q, Jin H, Lin D (2005) The model and analyzing method for complex system’s brittleness. Syst Eng 23(1):9–12Google Scholar
  9. 9.
    Wang S, Wang Y (2011) Causation analysis of complex system safety accident based on brittle structure collapse. China Saf Sci J 21(5):138–142Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

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

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