Publication result detail

Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories

APELTAUER, T.; UHLÍK, O.; APELTAUER, J.; JUŘÍK, V.

Original Title

Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories

English Title

Spatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectories

Type

WoS Article

Original Abstract

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.

English abstract

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.

Keywords

computer vision, transportation terminals, crowd dynamics, pedestrian behavior, surveillance cameras

Key words in English

computer vision, transportation terminals, crowd dynamics, pedestrian behavior, surveillance cameras

Authors

APELTAUER, T.; UHLÍK, O.; APELTAUER, J.; JUŘÍK, V.

RIV year

2025

Released

20.11.2024

Publisher

Springer Nature

ISBN

2052-4463

Periodical

Scientific Data

Volume

11

Number

11

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

10

Pages count

10

URL

https://link.springer.com/article/10.1038/s41597-024-04071-9

Full text in the Digital Library

http://hdl.handle.net/11012/249928

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",
  url="https://link.springer.com/article/10.1038/s41597-024-04071-9"
}

Documents

s41597-024-04071-9