{"title":"Analysis of conflict risk causes in urban expressway diverging areas: considering unobserved heterogeneity and their interactions","authors":"Jiaqiang Wen , Nengchao Lyu , Yanyong Guo , Jianatihan Jinsihan","doi":"10.1080/19427867.2025.2537173","DOIUrl":null,"url":null,"abstract":"<div><div>Urban expressway diverging areas face higher conflict risks due to complex weaving movements. This study aims to explore the determinants influencing conflict risk in diverging areas. High-resolution trajectory data totaling 32.1 hours from six expressway diverging areas in Wuhan were collected using unmanned aerial vehicles. By incorporating vehicle kinematic information, a new method for identifying traffic conflicts in a two-dimensional plane was defined. Based on this, a correlated random parameters multinomial logit model with heterogeneity in means was developed by relaxing fixed constraints on the means of random parameters, and allowing potential correlations among random parameters. The results show that exit configuration, speed difference between lanes, acceleration, and vehicle in exit significantly influence conflict risk, with their estimates exhibiting random effects. The influencing factors for lateral and longitudinal conflict risks differ. The findings provide insights for improving traffic safety in expressway diverging areas.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 1","pages":"Pages 161-178"},"PeriodicalIF":3.4000,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Letters-The International Journal of Transportation Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S194278672500044X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Urban expressway diverging areas face higher conflict risks due to complex weaving movements. This study aims to explore the determinants influencing conflict risk in diverging areas. High-resolution trajectory data totaling 32.1 hours from six expressway diverging areas in Wuhan were collected using unmanned aerial vehicles. By incorporating vehicle kinematic information, a new method for identifying traffic conflicts in a two-dimensional plane was defined. Based on this, a correlated random parameters multinomial logit model with heterogeneity in means was developed by relaxing fixed constraints on the means of random parameters, and allowing potential correlations among random parameters. The results show that exit configuration, speed difference between lanes, acceleration, and vehicle in exit significantly influence conflict risk, with their estimates exhibiting random effects. The influencing factors for lateral and longitudinal conflict risks differ. The findings provide insights for improving traffic safety in expressway diverging areas.
期刊介绍:
Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research.
The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.