The influence factors of time for the bus at the station platform analysis,considering complex drive mode is introduced into the concept of probability interval prediction station time.The station time prediction model is established through algorithm within DNN forecasting results are obtained,the statistical error of the predicted values and the real value and multiple sub divided into sections,for each segment nonparametric kernel density estimation algorithm is used to con-struct the probability interval prediction model,estimate the reorganization of the predicted results of each section under a certain confidence level of the bus station time probability interval prediction results.Using the data from the jining city bus to leave the information such as the feasibility and effectiveness of the validation method.
关键词
概率区间预测/非参数核密度估计/公交驻站时间/区段划分
Key words
probabilistic interval prediction/nonparametric kernel density estimation/bus dwelling time/segmentation
维普
万方数据