0468095 20240103213245.220170102235959.9 10.1007/978-3-319-33482-0_14 8 P cav_un_epca*0468092978-3-319-33481-3105-112ChamSpringer International Publishing2016KnoopVictor L.DaamenWinnie pedestrian motion linear model statistical analysis cav_un_auth*0307653 Bukáček M. CZ cav_un_auth*0307172 Hrabák Pavel Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0038064 Krbálek M. CZ http://library.utia.cas.cz/separaty/2016/AS/hrabak-0468095.pdf cav_un_auth*0292725 GA13-13502S GA ČR This contribution provides a microscopic experimental study of pedestrian motion in front of the bottleneck, and explains the high variance of individual travel time by the statistical analysis of trajectories. The analysis shows that this heterogeneity increases with increasing occupancy. Some participants were able to reach lower travel times due to more efficient path selection and more aggressive behaviour within the crowd. Based on this observations, a linear model predicting travel time with respect to the aggressiveness of pedestrian is proposed. cav_un_auth*0340161 Conference on Traffic and Granular Flow ‘15 20151027 Nootdorp NL 20151030 BD 2017 3 RVO:67985556 http://hdl.handle.net/11104/0269415 S 2016 SCOPUS PUBMED WOS cav_un_epca*0468092 Traffic and Granular Flow '15 978-3-319-33481-3 105 112 Cham Springer International Publishing 2016 Knoop Victor L. 340 Daamen Winnie 340