Analysis On Running Safety Of Electric Taxis

In recent years,with the increasingly serious problems of environmental pollution and energy consumption,the pure electric vehicles that meet the needs of sustainable development have been strongly supported by national policies.The transformation of taxis from fuel vehicles to pure electric vehicles is the main development direction of the urban taxi industry in the future.The research on the running safety of pure electric taxis can provide a theoretical basis for its in-depth promotion in the future development market.As the direct operator of the vehicle,the driver has a direct impact on the safety of vehicle running.The driver and the vehicle are regarded as a whole,and the research on the safety of the vehicle running based on the driver’s driving behavior is of great significance for preventing traffic accidents,strengthening traffic safety management,and developing intelligent transportation.The main research work of this paper is as follows:(1)In Futian Street,Futian District,Shenzhen,8 roads including 3 arterial roads,3secondary trunk roads,and 2 branch roads are selected,and the driving speed of private cars and BYD e6 pure electric taxis is collected in real time with a handheld radar speedometer.A detailed statistical analysis of the speed distribution of non-electric private cars and pure electric taxis is carried out according to road grades and speed limit indicators,respectively.The research results show that: on arterial roads,the running speed of electric taxis is generally higher than that of private cars,and the speeding phenomenon is more serious;on secondary trunk roads and branch roads,the proportion of speeding samples of private cars increases.(2)The running information of 13 BYD e6 pure electric taxis is collected from January 21 to 29,2019 in Futian Street,Futian District,Shenzhen through on-board GPS equipment,and the moving average method is used to filter the original data and smooth the glitch data.Three indicators of running speed,starting acceleration and braking deceleration are selected to carry out statistical analysis on the operation of pure electric taxis,and the identification algorithms for three dangerous running conditions of overspeed,rapid acceleration and rapid deceleration are designed.It provides supporting data for the parameter system of vehicle running safety evaluation model.(3)There are 12 parameters of 13 pure electric taxis selected,including: average speed,standard deviation of speed,accumulated times of overspeed,accumulated time of overspeed,average acceleration,standard deviation of acceleration,accumulated times of rapid acceleration,accumulated time of rapid acceleration,average deceleration,standard deviation of deceleration,accumulated times of rapid deceleration and accumulated time of rapid deceleration.The k-means clustering algorithm is adopted to classify the pure electric taxis into two categories.The clustering results show that the central value of each parameter in cluster category 1 is higher than that in category 2.It is defined that cluster category 1 belongs to the dangerous operation category,and cluster category 2 belongs to the common operation category.Vehicles belonging to the dangerous operation category account for 23.08% of the total number of samples.The cluster analysis results provide objective basis for establishing scoring rules and building an assessment model.(4)The weight values of the factors affecting the vehicle running safety are calculated by two weighting methods,the Analytic hierarchy process method and the Entropy weight method,scoring rules for each indicator are established,the running safety assessment model of pure electric taxi is constructed,and the running of 13 taxis is quantitatively analyzed.The research results show that only 2 vehicles with a score of less than 60 points belong to the dangerous operation category of cluster analysis,accounting for 15.38% of the total sample.Finally,this paper makes recommendations for the safe operation of pure electric taxis from two aspects of vehicle setting and driver management.The full text includes 24 figures,40 tables and 70 references.