Optimization-based Pedestrian Model Calibration for Evaluation

https://doi.org/10.1016/j.trpro.2014.09.041Get rights and content
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Abstract

The evaluation and comparison of crowd simulation algorithms (complex, high-dimensional, multi-scale systems) is an important question. “Realism” being dependent on target applications, comparisons with real measurements are not easy. Promising so- lutions have been suggested for such evaluations (Guy et al. (2012)). Here, we address estimating simulation parameters before evaluating: what do evaluation results mean if the assessed model is not performing at its best? We propose an optimization-based approach encompassing: reference data, metrics, simulation algorithms and optimization techniques. We demonstrate finding good parameter values setting simulation results as close as possible to reference data, enabling fair and meaningful comparisons.

Keywords

crowd simulation
evaluation
parameter estimation
optimization
ground-truth data

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Peer-review under responsibility of Department of Transport & Planning Faculty of Civil Engineering and Geosciences Delft University of Technology.