Citation

Wolinski D, Guy SJ, Olivier AH, Lin MC, Manocha D, Pettré J. Transp. Res. Proc. 2014; 2: 228-236.

Copyright

(Copyright © 2014, Elsevier Publications)

DOI

10.1016/j.trpro.2014.09.041

PMID

unavailable

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.

Language: en

Keywords

crowd simulation; evaluation; ground-truth data; optimization; parameter estimation