Research On Location And Deployment Of Charging Station Based On Big Data Of Taxi Trajectory

Environmental pollution and the fossil energy crisis have attracted global attention.The oil consumption of traditional internal combustion engine vehicles is not only the main source of the energy crisis,but also which exhaust gas emitted is one of factors that cause air pollution.Therefore,electric vehicles have become the mainstream of the development of transportation,Among them,taxis as an important public transportation,which urgently need to be electrified.In order to promote the rapid development of electric taxis,the construction of charging stations is a crucial basic work,it directly affects the cost,profitability and service capabilities of charging stations.At present,the location selection of taxi charging stations and the configuration of the number of charging makeup have become a research hotspot in the field of transportation.This article is based on the site selection planning of the charging station and the main tasks are as follows:Ⅰ.The road traffic model of Fuzhou was established based on the road network map data of Fuzhou.Therefore,the buffer map matching model was established.Combined with the taxi trajectory data of Fuzhou,the urban road traffic flow matrix,road distance matrix,OD matrix and road speed matrix were established.Ⅱ.Proposed an algorithm for identifying taxi shift.Model the data based on the STOP/MOVE model and the VSLC algorithm,and then take the DBSCAN clustering algorithm and kernel density estimation to identify the temporal and spatial distribution of taxi shift behavior.The reliability and scientificity of this method are proved by comparing similar methods.Ⅲ.Based on the above work,introduce theoretical models such as vehicle energy consumption model,route selection algorithm,Voronoi diagram,etc.,and apply Monte Carlo stochastic simulation method to simulate the operating of taxis to get the time and space distribution of charging demand and charging load of taxis.Ⅳ.Analyzed the main factors of the establishment of the charging station,constructed 4 cost functions and 3 site selection constraints from the two dimensions of the charging station and the vehicle owner,combined with the above work and improved the particle swarm optimization algorithm for the charging station Site selection planning.Ⅴ.A new method of charging station location and deployment based on the density of taxi parking points is proposed,combining the above work to extract the high-frequency,long-term,and large number of taxis staying areas as a charging station construction method.The profitability of the charging station and the convenience of charging by the car owner are the evaluation functions that verify the feasibility of this method.