Publication detail

Microscopic travel-time analysis of bottleneck experiments

BUKÁČEK, M. HRABÁK, P. KRBÁLEK, M.

Original Title

Microscopic travel-time analysis of bottleneck experiments

Type

journal article in Web of Science

Language

English

Original Abstract

This contribution provides a microscopic experimental study of pedestrian motion in front of the bottleneck. The identification of individual pedestrians in variety of experiments enables to explain the high variance of travel time by the heterogeneity of the crowd. Some pedestrians are able to push effectively through the crowd, some get trapped in the crowd for significantly longer time. This ability to push through the crowd is associated with a slope of individual linear model of the dependency of travel time on the number of pedestrians in front of the bottleneck. Further detailed study of the origin of such ability is studied by means of the route choice, i.e. strategy whether to walk around the crowd or to walk directly through it. The study reveals that the ability to push through the crowd is a combination of aggressiveness in conflicts and willingness to overtake the crowd.

Keywords

Pedestrian dynamics, egress experiments, path analysis, travel time, aggressiveness, classification according to strategy

Authors

BUKÁČEK, M.; HRABÁK, P.; KRBÁLEK, M.

Released

17. 1. 2018

Publisher

TAYLOR & FRANCIS LTD

Location

2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

ISBN

2324-9935

Periodical

Transportmetrica A: Transport Science

Year of study

14

Number

5

State

People's Republic of China

Pages from

375

Pages to

391

Pages count

17

URL

BibTex

@article{BUT163302,
  author="Marek {Bukáček} and Pavel {Hrabák} and Milan {Krbálek}",
  title="Microscopic travel-time analysis of bottleneck experiments",
  journal="Transportmetrica A: Transport Science",
  year="2018",
  volume="14",
  number="5",
  pages="375--391",
  doi="10.1080/23249935.2017.1419423",
  issn="2324-9935",
  url="https://doi.org/10.1080/23249935.2017.1419423"
}