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Effect of signal timing on vehicles’ near misses at intersections
Driving characteristics often vary between the different states of the signal. During red and yellow phase, drivers tend to speed up and reduce the following distance which in turn increases the possibility of rear end crashes. Intersection safety, therefore, relies on the correct modelling of signa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241921/ https://www.ncbi.nlm.nih.gov/pubmed/37277508 http://dx.doi.org/10.1038/s41598-023-36106-3 |
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author | Islam, Zubayer Abdel-Aty, Mohamed Goswamy, Amrita Abdelraouf, Amr Zheng, Ou |
author_facet | Islam, Zubayer Abdel-Aty, Mohamed Goswamy, Amrita Abdelraouf, Amr Zheng, Ou |
author_sort | Islam, Zubayer |
collection | PubMed |
description | Driving characteristics often vary between the different states of the signal. During red and yellow phase, drivers tend to speed up and reduce the following distance which in turn increases the possibility of rear end crashes. Intersection safety, therefore, relies on the correct modelling of signal phasing and timing parameters, and how drivers respond to its changes. This paper aims to identify the relationship between surrogate safety measures and signal phasing. Unmanned aerial vehicle (UAV) video data has been used to study a major intersection. Post encroachment time (PET) between vehicles was calculated from the video data as well as speed, heading and relevant signal timing parameters such as all red time, red clearance time, yellow time, etc. Random parameter ordered logit model was used to model the relationship between PET and signal timing parameters. Overall, the results showed that yellow time and red clearance time is positively related to PETs. The model was also able to identify certain signal phases that could be a potential safety hazard and would need to be retimed by considering the PETs. The odds ratios from the models also indicate that increasing the mean yellow and red clearance times by one second can improve the PET levels by 10% and 3%, respectively. |
format | Online Article Text |
id | pubmed-10241921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102419212023-06-07 Effect of signal timing on vehicles’ near misses at intersections Islam, Zubayer Abdel-Aty, Mohamed Goswamy, Amrita Abdelraouf, Amr Zheng, Ou Sci Rep Article Driving characteristics often vary between the different states of the signal. During red and yellow phase, drivers tend to speed up and reduce the following distance which in turn increases the possibility of rear end crashes. Intersection safety, therefore, relies on the correct modelling of signal phasing and timing parameters, and how drivers respond to its changes. This paper aims to identify the relationship between surrogate safety measures and signal phasing. Unmanned aerial vehicle (UAV) video data has been used to study a major intersection. Post encroachment time (PET) between vehicles was calculated from the video data as well as speed, heading and relevant signal timing parameters such as all red time, red clearance time, yellow time, etc. Random parameter ordered logit model was used to model the relationship between PET and signal timing parameters. Overall, the results showed that yellow time and red clearance time is positively related to PETs. The model was also able to identify certain signal phases that could be a potential safety hazard and would need to be retimed by considering the PETs. The odds ratios from the models also indicate that increasing the mean yellow and red clearance times by one second can improve the PET levels by 10% and 3%, respectively. Nature Publishing Group UK 2023-06-05 /pmc/articles/PMC10241921/ /pubmed/37277508 http://dx.doi.org/10.1038/s41598-023-36106-3 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Islam, Zubayer Abdel-Aty, Mohamed Goswamy, Amrita Abdelraouf, Amr Zheng, Ou Effect of signal timing on vehicles’ near misses at intersections |
title | Effect of signal timing on vehicles’ near misses at intersections |
title_full | Effect of signal timing on vehicles’ near misses at intersections |
title_fullStr | Effect of signal timing on vehicles’ near misses at intersections |
title_full_unstemmed | Effect of signal timing on vehicles’ near misses at intersections |
title_short | Effect of signal timing on vehicles’ near misses at intersections |
title_sort | effect of signal timing on vehicles’ near misses at intersections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241921/ https://www.ncbi.nlm.nih.gov/pubmed/37277508 http://dx.doi.org/10.1038/s41598-023-36106-3 |
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