Detail publikace
Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories
APELTAUER, T. UHLÍK, O. APELTAUER, J. JUŘÍK, V.
Originální název
Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Understanding pedestrian movement remains crucial for designing efficient and safe transportation structures such as terminals, stations, or airports. The significance of conducting a granular analysis in pedestrian mobility dynamics research is evident in refining crowd behavior modeling. It is essential for gaining insights into potential terminal layouts, crowd management strategies, and evacuation procedures, all of which enhance safety and efficiency. In this context, we offer an original empirical dataset of more than 24,000,000 samples of trajectory spatial movement at traffic terminals in Havlíčkův Brod and Pardubice, Czech Republic. The dataset was collected using a high-resolution camera system installed at the railway station. Subsequently, algorithmic post-processing was applied to extract anonymous data on the spatial movement of recorded pedestrians. Thanks to this dataset, researchers can delve into the distances between pedestrians in a transportation terminal, considering factors such as group composition, group-to-group distances, and walking speed.
Klíčová slova
computer vision, transportation terminals, crowd dynamics, pedestrian behavior, surveillance cameras
Autoři
APELTAUER, T.; UHLÍK, O.; APELTAUER, J.; JUŘÍK, V.
Vydáno
20. 11. 2024
Nakladatel
Springer Nature
ISSN
2052-4463
Periodikum
Scientific data
Ročník
11
Číslo
11
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1
Strany do
10
Strany počet
10
URL
Plný text v Digitální knihovně
BibTex
@article{BUT189724,
author="Tomáš {Apeltauer} and Ondřej {Uhlík} and Jiří {Apeltauer} and Vojtěch {Juřík}",
title="Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories",
journal="Scientific data",
year="2024",
volume="11",
number="11",
pages="1--10",
doi="10.1038/s41597-024-04071-9",
issn="2052-4463",
url="https://link.springer.com/article/10.1038/s41597-024-04071-9"
}