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.
关键词
电动汽车/出行链/高斯混合模型/时间特征/用户调研
Key words
electric vehicle/travel chain/Gaussian mixture model/time characteristics/user investigation
维普
万方数据