Risk Perception And Avoidance Behavior Of Vulnerable Traffic Participants In Trafficconflict

Mixed traffic is a common phenomenon in many cities of the world, especially themixed traffic of motor vehicles and non-motor vehicles. The motor vehicle and thenon-motor vehicle conflict and interfere with each other, so the traffic efficiency and safetydecrease. Study the mechanism of the motor vehicle and the non-motor vhicle conflict andinterference is very important. The efficiency models are used to analyze the behavior ofthe motor vehicle and the non-motor vhicle conflict risk perception and risk avoidancebehavior. The results are helpful for traffic safety management and planning. In this paper,the main work is as follows:(1) According to the characteristics of mixed traffic of the motor vehicle and thenon-motor vhicle conflict and interference, the actual survey is conducted. Then themechanism of the motor vehicle and the non-motor vhicle conflict and interference isanalyzed, and the conflict and the interference are redefined.(2) The survival analysis is used to analyze the motor vehicle and the non-motorvehicle conflict risk perception based on the measured data. The probability and thedistance of the conflict and the interference are obtained. The results show the conflict riskperception sensitivity increases with the distance of the motor vehicle and the non-motorvehicle conflict and interference increasing. Meanwile, the non-motor vehicles are dividedinto bicycles and electric bicycles and their risk perception sensitivities are analyzed. Thebicycle risk perception sensitivity is larger than that of the electric bicycle.(3) The motor vehicle and the non-motor vehicle conflict risk perception sensitivitiesare influenced by many factors. The duration model is used to analyze the factors. Theconflict risk perception sensitivities in different traffic environments are obtained. TheRelative Hazard Risk Ratio is used to analyze the different factor influences quantitatively.The results show: non-motor types(bicyle or electric bicycle), non-motor vehicle velocity,motor vehicle velocity, non-motor vehicle volume during peak hour, motor vehicle volumeduring peak hour, non-motor vehicle volume per5mins, motor vehicle volume per5minsmake a significant impact on the conflict and the interference. Meanwile, the degree ofevery factor effect on the conflict and the interference is different.(4) The motor vehicle and the non-motor vehicle conflict risk avoidance distance andcritical risk avoidance diastance are analyzed based on models, and the conflict risk avoidance area and critical risk avoidance area are obtained. The results show: the riskavoidance area and the critical risk avoidance area are closely related to the motor vehiclevelocity and the non-motor vehicle velocity.