Summary
In this paper an automatic procedure to obtain trajectory data sets for controlled walking experiments based on laser scanner measurements is investigated. The laser range scanners provide raw data consisting of snapshots of scattered points with a frequency of 10 Hertz. A tracking algorithm is applied in order to convert the laser scanner measurements into trajectory data sets. Suitability of the method is demonstrated via the application to walking experiments performed in the London based walking laboratory PAMELA. Beside evaluating the accuracy of the obtained trajectory data the experiments are also used in order to enable data driven modelling of stopping and turning movements within the social force model paradigm. It is shown that via the modelling of a ‘desired velocity’ term inside the models the observed behavior can be modelled with reasonable accuracy.
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Bauer, D., Kitazawa, K. (2010). Using Laser Scanner Data to Calibrate Certain Aspects of Microscopic Pedestrian Motion Models. In: Klingsch, W., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04504-2_6
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DOI: https://doi.org/10.1007/978-3-642-04504-2_6
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