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

Anders Johansson, Dirk Helbing () and Pradyumn K. Shukla
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Anders Johansson: Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany
Dirk Helbing: Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany;
Pradyumn K. Shukla: Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany;

Advances in Complex Systems (ACS), 2007, vol. 10, issue supp0, 271-288

Abstract: 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.

Keywords: Evolutionary optimization; pedestrian interaction; video tracking; social force model; pedestrian simulation; evacuation scenarios (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (43)

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DOI: 10.1142/S0219525907001355

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