Dynamic evolution model of freeway traffic accident risk based on complex network

To effectively excavate the patterns in freeway traffic accidents, we propose a method for constructing a freeway traffic accident cause network based on complex network theory. We define the risk propagation mechanism from two aspects: risk structure and risk patterns, and integrate the freeway tra...

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Main Authors: TANG Zhihui, HUANG Jingru, ZHANG Nan
Format: Article
Language:English
Published: Science Press (China Science Publishing & Media Ltd.) 2024-07-01
Series:Shenzhen Daxue xuebao. Ligong ban
Subjects:
Online Access:https://journal.szu.edu.cn/en/#/digest?ArticleID=2658
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author TANG Zhihui
HUANG Jingru
ZHANG Nan
author_facet TANG Zhihui
HUANG Jingru
ZHANG Nan
author_sort TANG Zhihui
collection DOAJ
description To effectively excavate the patterns in freeway traffic accidents, we propose a method for constructing a freeway traffic accident cause network based on complex network theory. We define the risk propagation mechanism from two aspects: risk structure and risk patterns, and integrate the freeway traffic accident cause network with these mechanisms to establish an evolution model for freeway traffic accident risk. Using data from 201 investigation reports of major highway traffic accidents as examples, risk analysis is conducted. The results show that the risk evolution model based on complex networks is applicable for analyzing freeway traffic accident risks. The model allows the analysis and classification of risk propagation characteristics of each causation factor, enabling the formulation of targeted control strategies. This paper provides a new approach for studying the evolution of freeway traffic accident risk.
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language English
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publisher Science Press (China Science Publishing & Media Ltd.)
record_format Article
series Shenzhen Daxue xuebao. Ligong ban
spelling doaj-art-db10824d5fa54812a3b2db9f0ea526572025-08-20T02:06:40ZengScience Press (China Science Publishing & Media Ltd.)Shenzhen Daxue xuebao. Ligong ban1000-26182024-07-0141443344310.3724/SP.J.1249.2024.044331000-2618(2024)04-0433-11Dynamic evolution model of freeway traffic accident risk based on complex networkTANG ZhihuiHUANG JingruZHANG NanTo effectively excavate the patterns in freeway traffic accidents, we propose a method for constructing a freeway traffic accident cause network based on complex network theory. We define the risk propagation mechanism from two aspects: risk structure and risk patterns, and integrate the freeway traffic accident cause network with these mechanisms to establish an evolution model for freeway traffic accident risk. Using data from 201 investigation reports of major highway traffic accidents as examples, risk analysis is conducted. The results show that the risk evolution model based on complex networks is applicable for analyzing freeway traffic accident risks. The model allows the analysis and classification of risk propagation characteristics of each causation factor, enabling the formulation of targeted control strategies. This paper provides a new approach for studying the evolution of freeway traffic accident risk.https://journal.szu.edu.cn/en/#/digest?ArticleID=2658transportation planning and managementrisk dynamic evolutioncomplex networkrisk propagation mechanismtraffic safetyfreeway
spellingShingle TANG Zhihui
HUANG Jingru
ZHANG Nan
Dynamic evolution model of freeway traffic accident risk based on complex network
Shenzhen Daxue xuebao. Ligong ban
transportation planning and management
risk dynamic evolution
complex network
risk propagation mechanism
traffic safety
freeway
title Dynamic evolution model of freeway traffic accident risk based on complex network
title_full Dynamic evolution model of freeway traffic accident risk based on complex network
title_fullStr Dynamic evolution model of freeway traffic accident risk based on complex network
title_full_unstemmed Dynamic evolution model of freeway traffic accident risk based on complex network
title_short Dynamic evolution model of freeway traffic accident risk based on complex network
title_sort dynamic evolution model of freeway traffic accident risk based on complex network
topic transportation planning and management
risk dynamic evolution
complex network
risk propagation mechanism
traffic safety
freeway
url https://journal.szu.edu.cn/en/#/digest?ArticleID=2658
work_keys_str_mv AT tangzhihui dynamicevolutionmodeloffreewaytrafficaccidentriskbasedoncomplexnetwork
AT huangjingru dynamicevolutionmodeloffreewaytrafficaccidentriskbasedoncomplexnetwork
AT zhangnan dynamicevolutionmodeloffreewaytrafficaccidentriskbasedoncomplexnetwork