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"
}