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Special Issue: Physics and the City; Guest Eds. B. Giorgini, A. Bazzani and S. Rambaldi (Laboratorio di Fisica della Città and CIG-Bologna University, Italy)No Access

SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA

    https://doi.org/10.1142/S0219525907001355Cited by:377 (Source: Crossref)

    Based on suitable video recordings of interactive pedestrian motion and improved tracking software, we apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model. The calibrated model is then used for large-scale pedestrian simulations of evacuation scenarios, pilgrimage, and urban environments.