Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation
The focus of this study is to identify potential road links suitable for implementing a variable speed limit (VSL) sign by analyzing real-world traffic speed data collected over one year in Charlotte, North Carolina, United States. Exploratory and bivariate analyses were conducted to examine variati...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2024-12-01
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Series: | Urban, Planning and Transport Research |
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Online Access: | https://www.tandfonline.com/doi/10.1080/21650020.2024.2319711 |
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author | Panick Kalambay Srinivas S. Pulugurtha |
author_facet | Panick Kalambay Srinivas S. Pulugurtha |
author_sort | Panick Kalambay |
collection | DOAJ |
description | The focus of this study is to identify potential road links suitable for implementing a variable speed limit (VSL) sign by analyzing real-world traffic speed data collected over one year in Charlotte, North Carolina, United States. Exploratory and bivariate analyses were conducted to examine variations in traffic speed patterns during weekdays and weekends across eight specific timespans. The results revealed that road links with lower posted speed limits consistently experienced traffic speeds exceeding the posted speed limits. The mean traffic speeds are generally close to the posted speed limits for road links with higher posted speed limits while the 85th percentile speeds exceeded the posted speed limits, indicating a potential need for VSL sign implementation. The road links with 40 mph or 50 mph posted speed limits have a unique pattern compared to road links of other posted speed limit clusters. The mean traffic speed on these road links decreased as the standard deviation increased. The findings contribute to an improved understanding of traffic speed patterns and provide valuable insights for implementing a VSL sign. |
first_indexed | 2024-03-07T22:53:02Z |
format | Article |
id | doaj.art-160ffe2cd9cb46eb89d1631ecea53387 |
institution | Directory Open Access Journal |
issn | 2165-0020 |
language | English |
last_indexed | 2025-02-18T04:43:09Z |
publishDate | 2024-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Urban, Planning and Transport Research |
spelling | doaj.art-160ffe2cd9cb46eb89d1631ecea533872024-11-18T10:31:36ZengTaylor & Francis GroupUrban, Planning and Transport Research2165-00202024-12-0112110.1080/21650020.2024.2319711Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementationPanick Kalambay0Srinivas S. Pulugurtha1Civil & Environmental Engineering Department, The University of North Carolina at Charlotte, Charlotte, NC, USACivil & Environmental Engineering Department, The University of North Carolina at Charlotte, Charlotte, NC, USAThe focus of this study is to identify potential road links suitable for implementing a variable speed limit (VSL) sign by analyzing real-world traffic speed data collected over one year in Charlotte, North Carolina, United States. Exploratory and bivariate analyses were conducted to examine variations in traffic speed patterns during weekdays and weekends across eight specific timespans. The results revealed that road links with lower posted speed limits consistently experienced traffic speeds exceeding the posted speed limits. The mean traffic speeds are generally close to the posted speed limits for road links with higher posted speed limits while the 85th percentile speeds exceeded the posted speed limits, indicating a potential need for VSL sign implementation. The road links with 40 mph or 50 mph posted speed limits have a unique pattern compared to road links of other posted speed limit clusters. The mean traffic speed on these road links decreased as the standard deviation increased. The findings contribute to an improved understanding of traffic speed patterns and provide valuable insights for implementing a VSL sign.https://www.tandfonline.com/doi/10.1080/21650020.2024.2319711Variable speed limittraffic speedspeed limit |
spellingShingle | Panick Kalambay Srinivas S. Pulugurtha Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation Urban, Planning and Transport Research Variable speed limit traffic speed speed limit |
title | Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
title_full | Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
title_fullStr | Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
title_full_unstemmed | Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
title_short | Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
title_sort | data driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation |
topic | Variable speed limit traffic speed speed limit |
url | https://www.tandfonline.com/doi/10.1080/21650020.2024.2319711 |
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