Counterflow Model for FDS+Evac Simulations

Simo Heliövaara, Timo Korhonen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    Abstract

    We present a new method for modeling counterflow situations in crowds. Agents, describing individual pedestrians, are set to avoid the moving directions where there is counterflow and prefer the directions with forward flow. In dense counterflow situations, people tend to move shoulder first to occupy less space in the moving direction. If the elliptical cross-section of a human body is
    considered in a crowd model, the rotational positions in which the agents move affect the counterflow. In our model, agents try to rotate their bodies in certain counterflow situations to move shoulder first. The model is implemented in the FDS+Evac simulation software. Test simulations show that it is able to create rather realistic simulations of counterflow.
    Original languageEnglish
    Title of host publicationPedestrian and Evacuation Dynamics
    EditorsRichard D. Peacock, Erica D. Kuligowski, Jason D. Averill
    PublisherSpringer
    Pages789-792
    ISBN (Electronic)978-1-4419-9725-8
    ISBN (Print)978-1-4419-9724-1
    DOIs
    Publication statusPublished - 2011
    MoE publication typeB3 Non-refereed article in conference proceedings
    Event5th International Conference on Pedestrian and Evacuation Dynamics, PED 2010 - National Institute of Standards and Technology, Gaithersburg, United States
    Duration: 8 Mar 201010 Mar 2010
    Conference number: 5

    Conference

    Conference5th International Conference on Pedestrian and Evacuation Dynamics, PED 2010
    Abbreviated titlePED 2010
    CountryUnited States
    CityGaithersburg
    Period8/03/1010/03/10

    Keywords

    • FDS+Evac
    • counterflow
    • crowd modelling

    Cite this

    Heliövaara, S., & Korhonen, T. (2011). Counterflow Model for FDS+Evac Simulations. In R. D. Peacock, E. D. Kuligowski, & J. D. Averill (Eds.), Pedestrian and Evacuation Dynamics (pp. 789-792). Springer. https://doi.org/10.1007/978-1-4419-9725-8_75