A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China
Expressways in urban agglomerations are important in connecting cities, thus attracting great attention from researchers in the expressways risk assessment. However, there is a lack of safety assessment models suitable for the characteristics of expressways in Chinese urban agglomerations, and the n...
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MDPI AG
2024-03-01
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Series: | Systems |
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Online Access: | https://www.mdpi.com/2079-8954/12/3/86 |
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author | Bing Li Xiaoduan Sun Yulong He Meng Zhang |
author_facet | Bing Li Xiaoduan Sun Yulong He Meng Zhang |
author_sort | Bing Li |
collection | DOAJ |
description | Expressways in urban agglomerations are important in connecting cities, thus attracting great attention from researchers in the expressways risk assessment. However, there is a lack of safety assessment models suitable for the characteristics of expressways in Chinese urban agglomerations, and the nature and mode of dynamic risks on Chinese highways are still unclear. Therefore, this study adopts the Adaptive Neural Fuzzy Inference System (ANFIS) and the method of decision tree, combined with data from the Beijing section of the Beijing Harbin Expressway, to model the risk of accident-prone highways in urban agglomerations. To determine the optimal model, we evaluated the model’s bias at different time intervals. In addition, key factors affecting highway safety were analyzed, providing scientific support for the risk prevention of highways in urban agglomerations in China. |
first_indexed | 2024-04-24T17:48:27Z |
format | Article |
id | doaj.art-7e2be882791b448087e545aca01101c0 |
institution | Directory Open Access Journal |
issn | 2079-8954 |
language | English |
last_indexed | 2024-04-24T17:48:27Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Systems |
spelling | doaj.art-7e2be882791b448087e545aca01101c02024-03-27T14:05:43ZengMDPI AGSystems2079-89542024-03-011238610.3390/systems12030086A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North ChinaBing Li0Xiaoduan Sun1Yulong He2Meng Zhang3School of Transportation, Beijing University of Technology, Beijing 100124, ChinaSchool of Transportation, Beijing University of Technology, Beijing 100124, ChinaSchool of Transportation, Beijing University of Technology, Beijing 100124, ChinaResearch Institute of Highway Ministry of Transport, Beijing 100088, ChinaExpressways in urban agglomerations are important in connecting cities, thus attracting great attention from researchers in the expressways risk assessment. However, there is a lack of safety assessment models suitable for the characteristics of expressways in Chinese urban agglomerations, and the nature and mode of dynamic risks on Chinese highways are still unclear. Therefore, this study adopts the Adaptive Neural Fuzzy Inference System (ANFIS) and the method of decision tree, combined with data from the Beijing section of the Beijing Harbin Expressway, to model the risk of accident-prone highways in urban agglomerations. To determine the optimal model, we evaluated the model’s bias at different time intervals. In addition, key factors affecting highway safety were analyzed, providing scientific support for the risk prevention of highways in urban agglomerations in China.https://www.mdpi.com/2079-8954/12/3/86safetyexpresswayfuzzy system |
spellingShingle | Bing Li Xiaoduan Sun Yulong He Meng Zhang A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China Systems safety expressway fuzzy system |
title | A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China |
title_full | A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China |
title_fullStr | A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China |
title_full_unstemmed | A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China |
title_short | A Dynamic Collision Risk Assessment Model for the Traffic Flow on Expressways in Urban Agglomerations in North China |
title_sort | dynamic collision risk assessment model for the traffic flow on expressways in urban agglomerations in north china |
topic | safety expressway fuzzy system |
url | https://www.mdpi.com/2079-8954/12/3/86 |
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