• DocumentCode
    690242
  • Title

    Emergency evacuation in subway station based on Combined Social Force Model

  • Author

    Wan Jiahui ; Sui Jie

  • Author_Institution
    Coll. of Eng. & Inf. Technol., Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    With increasing occurrence of large-scale and half-closed traffic hubs like subway stations, more and more attention has been paid to emergency evacuation inside them. Based on Social Force Model, add a gas dispersion model into simulation environment. A Combined Social Force Model was built which is suitable to a real situation where there is a sudden toxic gas event. The improved evacuation model optimizes primary Social Force Model by taking into account the cohesion among passengers and the nervousness factor in emergency. The model integrates Gaussian Puff Model and can reflect the process of evacuation accurately. At last a corresponding simulation experiment was conducted and emphasizes the importance of gas positions and detecting emergency in time to efficient evacuation.
  • Keywords
    Gaussian processes; emergency management; optimisation; rail traffic; railways; social sciences; transportation; Gaussian puff model; combined social force model; emergency evacuation; gas dispersion model; half-closed traffic hubs; large-scale traffic hubs; nervousness factor; subway stations; Force; RNA; emergency evacuation; gas dispersion; simulation; social force;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Information and Emergency Communication (ICEIEC), 2013 IEEE 4th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICEIEC.2013.6835497
  • Filename
    6835497