TY  - JOUR
AU  - Chraibi, Mohcine
AU  - Ensslen, Tim
AU  - Gottschalk, Hanno
AU  - Saadi, Mohamed
AU  - Seyfried, Armin
TI  - Assessment of models for pedestrian dynamics with functional principal component analysis
JO  - Physica / A
VL  - 451
SN  - 0378-4371
CY  - Amsterdam
PB  - North Holland Publ. Co.
M1  - FZJ-2016-01785
SP  - 475–489
PY  - 2016
AB  - Many agent based simulation approaches have been proposed for pedestrian flow. As such models are applied e.g. in evacuation studies, the quality and reliability of such models is of vital interest. Pedestrian trajectories are functional data and thus functional principal component analysis is a natural tool to assess the quality of pedestrian flow models beyond average properties. In this article we conduct functional Principal Component Analysis (PCA) for the trajectories of pedestrians passing through a bottleneck. In this way it is possible to assess the quality of the models not only on basis of average values but also by considering its fluctuations. We benchmark two agent based models of pedestrian flow against the experimental data using PCA average and stochastic features. Functional PCA proves to be an efficient tool to detect deviation between simulation and experiment and to assess quality of pedestrian models.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000373420800044
DO  - DOI:10.1016/j.physa.2016.01.058
UR  - https://juser.fz-juelich.de/record/283362
ER  -