Analysis of urban road driving behavior based on vehicle trajectory data
KANG Jiayi
XIAN Huacai
ZENG Huili
Abstract：In order to improve urban road traffic safety,based on vehicle trajectory data,taking a certain section of Jingshi Road in Jinan City as the research object,the road is divided into 120 effective sections,and the influence of traffic conditions such as road slope,intersection,lane,bus stop,pedestrian crossing,auxiliary road,and traffic attraction point on vehicle acceleration and deceleration proportion is studied.The main influencing factors are selected to establish a multivariate logistic regression analysis model of driving behavior and traffic conditions,and a 5 km urban main road is selected as a case to verify the applicability of the model.The results show that flat sections and sections with intersections are more likely to produce acceleration and deceleration behaviors;the acceleration proportion of vehicles on sections with pedestrian crossings is greater than that on sections without pedestrian crossings;the deceleration proportion is smaller than that on sections without pedestrian crossings.The accuracy of the prediction results of the accelerated proportion fitting regression model and the decelerated proportion fitting regression model are 73.91％and 78.26％,respectively,and the model has good applicability.
Keywords：road trafficdriving behaviorvehicle trajectory datamultivariate logistic regression
Publication Date：2025-03-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：7( 19-25 )