Examining causal factors of traffic instability using traffic flow and driving behavior dataOA
Developing proactive prevention measures before accidents is a powerful means of kerbing traffic accidents.Many studies have confirmed that the state of the traffic would fluctuate significantly before an accident,representing as traffic instability.This study develops a traffic instability index(TII)to evaluate and identify factors affecting traffic instability,utilizing non-negative matrix factorization(NMF)based on aggressive driving behaviors(ADBs)and traffic flow data.Machine learning algorithms and partial dependency plots(PDPs)reveal that traffic status significantly influence TII,followed by road attributes.The findings show that high TII is linked to more fatal accidents and that traffic instability is adversely impacted by increased speed differences,traffic volume,and the number of entrances and exits but reduced proportion of trucks and median openings.Vehicle type mix has a non-linear effect on TII.Additionally,median openings mitigate,while entrances and exits exacerbate the adverse effects of vehicle mix and truck proportion on instability.
Haiyi Yang;Xiaohua Zhao;Sen Luan;Ying Yao;Hang Qi
Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,ChinaFaculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,ChinaFaculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,ChinaFaculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,ChinaFaculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China
交通工程
Traffic instability assessmentAggressive driving behavior(ADB)Traffic flow charactericticNon-linear effect
《International Journal of Transportation Science and Technology》 2026 (1)
P.125-143,19
supported by the National Natural Science Foundation of China(No.52402416)by Beijing Natural Science Foundation(No.9244018).
评论