• DocumentCode
    2709097
  • Title

    A simulation model of pedestrian flow based on geographical cellular automata

  • Author

    Zhang, Shuai ; Li, Manchun ; Li, Feixue ; Liu, Aili ; Cai, Dong

  • Author_Institution
    Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a simulation model of pedestrian flow based on geographical cellular automata, GCAP Model, is established. The GCAP Model takes the walking suitability of the roads into consideration, and uses six dynamic parameters to simplify tactically the decision-making process of pedestrians in their movements. The simulation results show that the model is quite sensitive to different road conditions and can produce emergent self-organization phenomena in pedestrian crowds.
  • Keywords
    cellular automata; geographic information systems; road traffic; GCAP model; decision-making process; geographical cellular automata; pedestrian crowds; pedestrian flow simulation model; self-organization phenomena; Automata; Biological system modeling; Dynamics; Force; Legged locomotion; Roads; Vehicle dynamics; Geographic Information Systems; Geographic cellular automata; pedestrian flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980862
  • Filename
    5980862