Cargando…

Real-world sensor dataset for city inbound-outbound critical intersection analysis

This paper reports the release of dataset that describes the critical city inbound-outbound intersection in the central business district’s Sathorn area of Bangkok, Thailand. The available traffic volume and occupancy are captured by sensors located on the Sathorn area’s links. Induction loop coil s...

Descripción completa

Detalles Bibliográficos
Autores principales: Mon, Ei Ei, Ochiai, Hideya, Komolkiti, Patrachart, Aswakul, Chaodit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213430/
http://dx.doi.org/10.1038/s41597-022-01448-6
_version_ 1784730840708677632
author Mon, Ei Ei
Ochiai, Hideya
Komolkiti, Patrachart
Aswakul, Chaodit
author_facet Mon, Ei Ei
Ochiai, Hideya
Komolkiti, Patrachart
Aswakul, Chaodit
author_sort Mon, Ei Ei
collection PubMed
description This paper reports the release of dataset that describes the critical city inbound-outbound intersection in the central business district’s Sathorn area of Bangkok, Thailand. The available traffic volume and occupancy are captured by sensors located on the Sathorn area’s links. Induction loop coil sensors and thermal and CCTV cameras have been installed at the approaching links of the critical Sathorn-Surasak intersection. Traffic volume data have been collected from the CCTV cameras every 5 s from 2016 to 2019, and occupancy and volume data have been collected from the loop coil sensors every 5 s from May to September 2016 during a social experiment that was part of Sathorn Model project. Occupancy and volume data have also been collected from the thermal cameras every 5 s from May to June 2016. The dataset provides temporal and spatial coverage of Sathorn Road’s primary urban areas, including weekdays, weekends, and public holidays. This dataset can be resources for research on traffic state estimation, traffic light control optimization, and the analysis of critical intersections.
format Online
Article
Text
id pubmed-9213430
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-92134302022-06-23 Real-world sensor dataset for city inbound-outbound critical intersection analysis Mon, Ei Ei Ochiai, Hideya Komolkiti, Patrachart Aswakul, Chaodit Sci Data Data Descriptor This paper reports the release of dataset that describes the critical city inbound-outbound intersection in the central business district’s Sathorn area of Bangkok, Thailand. The available traffic volume and occupancy are captured by sensors located on the Sathorn area’s links. Induction loop coil sensors and thermal and CCTV cameras have been installed at the approaching links of the critical Sathorn-Surasak intersection. Traffic volume data have been collected from the CCTV cameras every 5 s from 2016 to 2019, and occupancy and volume data have been collected from the loop coil sensors every 5 s from May to September 2016 during a social experiment that was part of Sathorn Model project. Occupancy and volume data have also been collected from the thermal cameras every 5 s from May to June 2016. The dataset provides temporal and spatial coverage of Sathorn Road’s primary urban areas, including weekdays, weekends, and public holidays. This dataset can be resources for research on traffic state estimation, traffic light control optimization, and the analysis of critical intersections. Nature Publishing Group UK 2022-06-21 /pmc/articles/PMC9213430/ http://dx.doi.org/10.1038/s41597-022-01448-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Mon, Ei Ei
Ochiai, Hideya
Komolkiti, Patrachart
Aswakul, Chaodit
Real-world sensor dataset for city inbound-outbound critical intersection analysis
title Real-world sensor dataset for city inbound-outbound critical intersection analysis
title_full Real-world sensor dataset for city inbound-outbound critical intersection analysis
title_fullStr Real-world sensor dataset for city inbound-outbound critical intersection analysis
title_full_unstemmed Real-world sensor dataset for city inbound-outbound critical intersection analysis
title_short Real-world sensor dataset for city inbound-outbound critical intersection analysis
title_sort real-world sensor dataset for city inbound-outbound critical intersection analysis
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213430/
http://dx.doi.org/10.1038/s41597-022-01448-6
work_keys_str_mv AT moneiei realworldsensordatasetforcityinboundoutboundcriticalintersectionanalysis
AT ochiaihideya realworldsensordatasetforcityinboundoutboundcriticalintersectionanalysis
AT komolkitipatrachart realworldsensordatasetforcityinboundoutboundcriticalintersectionanalysis
AT aswakulchaodit realworldsensordatasetforcityinboundoutboundcriticalintersectionanalysis