• DocumentCode
    1871123
  • Title

    Research on the model of pedestrian evacuation in large public building based on Ant Colony Algorithm

  • Author

    Chen, Qing-quan ; Yao, Kun

  • Author_Institution
    The Armed Police Academy, Langfang, 065000 China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1682
  • Lastpage
    1685
  • Abstract
    To settle the pedestrian evacuation problems of large public building, by taking advantages of Ant Colony Algorithm in solving the shortest path problem while taking the behavioral characteristics of persons during fire into consideration, this paper puts forward a dynamic optimizing model of person evacuation path based on Ant Colony Algorithm, and combines with the analogue simulation of fire-free or fire occurrence examples, finally goes to a conclusion that dynamic adjustment of the optimized evacuation path can improve the evacuation efficiently and reduce the casualties effectively.
  • Keywords
    Ant Colony Algorithm; analogue simulation; large public building; pedestrian evacuation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1309
  • Filename
    6492916