Analysis of Travel Time Characteristics of Private Electric Vehicles Based on Gaussian Mixture Model
A survey on the usage habits of electric vehicles among residents in Shanghai was conducted to address the issue of the lack of probabilistic analysis results on the travel time characteristics(TTCs)of private electric cars(EVs)in China.Based on the travel chain structure,a Gaussian mixture model was used to construct a probability analysis method for the characteristic quantities of electric vehicle travel time,and the method was applied to research data to obtain the probability distribution of the first travel time,daily travel times,and single parking time of private electric vehicles in Shanghai.The research findings provide an information foundation for subsequent electric vehicle load forecasting and optimization of community charging station layout.
electric vehicletravel chainGaussian mixture modeltime characteristicsuser investigation
万方数据
维普
