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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213430/ http://dx.doi.org/10.1038/s41597-022-01448-6 |
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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 |
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