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

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dc.contributor.authorApeltauer, Tomášcs
dc.contributor.authorUhlík, Ondřejcs
dc.contributor.authorApeltauer, Jiřícs
dc.contributor.authorJuřík, Vojtěchcs
dc.coverage.issue11cs
dc.coverage.volume11cs
dc.date.accessioned2025-02-03T14:44:17Z
dc.date.available2025-02-03T14:44:17Z
dc.date.issued2024-11-20cs
dc.description.abstractUnderstanding 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.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationScientific data. 2024, vol. 11, issue 11, p. 1-10.en
dc.identifier.doi10.1038/s41597-024-04071-9cs
dc.identifier.issn2052-4463cs
dc.identifier.orcid0000-0003-3186-2175cs
dc.identifier.orcid0000-0001-9047-4784cs
dc.identifier.orcid0000-0002-9791-4655cs
dc.identifier.other189724cs
dc.identifier.researcheridQ-2414-2015cs
dc.identifier.researcheridP-9965-2015cs
dc.identifier.scopus35067734400cs
dc.identifier.scopus56566688300cs
dc.identifier.urihttps://hdl.handle.net/11012/249928
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofScientific datacs
dc.relation.urihttps://link.springer.com/article/10.1038/s41597-024-04071-9cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2052-4463/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcomputer visionen
dc.subjecttransportation terminalsen
dc.subjectcrowd dynamicsen
dc.subjectpedestrian behavioren
dc.subjectsurveillance camerasen
dc.titleSpatiotemporal Trajectories of Pedestrian Mobility at the Train Station: evidence of 24 million trajectoriesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-189724en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:44:17en
sync.item.modts2025.01.17 18:40:38en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav automatizace inženýrských úloh a informatikycs
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