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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Main Authors: Bing Li, Xiaoduan Sun, Yulong He, Meng Zhang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Systems
Subjects:
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.
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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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