Study On Non-motor Vehicle Traffic Safety Improvement Strategy Based On Conflict Analysis

In recent years,the number of non-motor vehicles in small and medium-sized cities has been increasing,and the running conditions of urban roads have been becoming increasingly complex,resulting in increasingly prominent traffic safety problems,which not only brings new challenges to the traffic management department in the management,but also brings greater security threats to traffic participants.Therefore,it is of great practical significance to classify the non-motor vehicle traffic safety problems in small and medium-sized cities and put forward appropriate improvement measures.Firstly,this paper studies the travel characteristics,cycling characteristics and accident characteristics of non-motor vehicles in small and medium-sized cities.Based on the measured data of Guilin,Liuzhou and Nanning,this paper studies overtaking events and traffic flow characteristics in mixed traffic sections,and establishes a prediction model for the number of overtaking events.Taking the number of overtaking events in mixed non-motor vehicle lanes and the score of riders’ subjective feelings as main evaluation indexes,the K-means clustering algorithm was used to construct the evaluation system of mixed non-motor vehicle lanes service level.The results show that the number of overtaking events has a multiple linear regression relationship with the unit hour traffic flow and section width,and the number of overtaking events increases with the increase of the two.The evaluation standard for road service level of mixed non-motor vehicles traffic constructed in this paper can be divided into five levels.When the number of overtaking events per unit time is greater than or equal to 25,the road service level of non-motor vehicles is the lowest and the traffic safety hidden danger is also the largest.Secondly,based on the different non-motor vehicle waiting areas at signalized intersections,the traffic conflicts between left-turning motor vehicles and non-motor vehicles are studied.The main influencing factors are selected to establish a generalized linear vehicle and non-motor vehicle traffic collision number prediction model,and the measured data are used to compare and analyze the accuracy of the model.The results show that the number of cross conflicts between motor vehicles and non-motor vehicles is related to the flow of left-turning electric vehicles,human-powered bicycles and left-turning motor vehicles in the same entrance lane.The number of expansion conflicts between motor vehicles and non-motor vehicles is correlated with the flow of left-turning non-motor vehicles,the flow of left-turning motor vehicles in the same entrance lane and the flow of non-motor vehicles in the opposite entrance lane.By using the prediction model of the number of conflicts between motor vehicles and non-motor vehicles,the number of conflicts between motor vehicles and non-motor vehicles at signalized intersections can be calculated accurately,and the safety of intersections can be well evaluated.Finally,according to the above research results,the non-motor vehicle traffic safety management countermeasures are put forward from the aspects of road sections,intersections,cyclists and vehicles.Two road sections and an intersection are selected for example analysis,and the prediction model and service level evaluation system proposed in this paper are verified.At the same time,the corresponding traffic safety improvements are given through the analysis of traffic safety problems.The results show that the traffic safety management countermeasures proposed from both macro and micro perspectives can improve the traffic safety of non-motorized vehicle riders in small and medium-sized cities from the source.