• DocumentCode
    2933297
  • Title

    Analysis on the Fidelity of Pedestrian Simulation Models

  • Author

    Weng Xiao-xiong ; Li Sheng-fu

  • Author_Institution
    Sch. of Civil Eng. & Transp., South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Pedestrian traffic system is a stochastic dynamic system with uncertainty cluster density, non-linear and the interaction among the individuals. Now computer dynamic simulation is one of the effective methods to study the mechanical characteristics of pedestrian flow in the public buildings. Aimed at the problems that under the same scene different software tools used in pedestrian simulation may lead to different results, the paper analyses the differences of the simulation software models in performance. Furthermore, it explains the reasons of the errors with discrete space resulting to the simulation. With comparing experimental data and simulation results of the travel time in the passageway of metro station, it shown that the performance of pedestrian traffic simulation is closely related to the building environment. The case results showed that the fidelity that multi-agent simulation model of continuous vector space for reproducing pedestrian behaviors in complex passageway can reach up to 87%.
  • Keywords
    multi-agent systems; stochastic systems; traffic engineering computing; computer dynamic simulation; metro station passageway; multiagent simulation model; pedestrian flow; pedestrian simulation models; pedestrian traffic system; simulation software models; software tools; stochastic dynamic system; traffic engineering; uncertainty cluster density; Accuracy; Analytical models; Buildings; Computational modeling; Simulation; Software tools; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748716
  • Filename
    5748716