Identification of E-bike violation behaviors by considering waiting tolerance time
By introducing the survival analysis,the waiting tolerance time of non-violation and violation electric bicycle riders was taken as deleted and complete data respectively.The violation rate function of electric bicycles was developed to estimate the violation rate under the influence of single factor.Secondly,part of the waiting time was assumed with a distributed form,and a Cox proportional risk regression model was proposed that integrated the characteristics of parametric and non-parametric methods to describe the violations of electric bicycle under the influence of multiple factors.The waiting behavior data of 1 335 non-motor vehicles were extracted,and by using the product limit estimation method,the violation rate function of electric vehicles under the influence of gender,age and non-motor vehicle type was obtained.The results showed that the violation rate of middle-aged and elderly riders is higher than that of young riders;the violation rate of female riders is higher with the waiting time is less than 25 s;the violation rate of electric bicycles is higher than that of traditional bikes and e-tricycles when the waiting time is less than 44 s or between 88 s and 100 s.Unlike the"bandwagon"effect of traditional bicycle violations,when the non-motorized lanes are narrow or the group size is large enough,electric bicycle violations can be suppressed.The escort and dedicated left turn phase can effectively reduce the violation rate of electric bicycles.
urban trafficelectric bicyclewaiting tolerance timeviolation behaviorproportional risk regression model
万方数据
维普
