机译:基于GPR和KRR的城市轨道交通短期客流预测
Wuhan Univ Technol Hubei Key Lab Broadband Wireless Commun & Sensor Wuhan 430070 Hubei Peoples R China;
feature extraction; railways; regression analysis; Gaussian processes; forecasting theory; traffic engineering computing; traveller; reasonable travel time; construction; hybrid prediction model; urban rail transit; Automatic Fare Collection System dataset; stability feature selection algorithm; GPR algorithm; feature extraction model; site feature; KRR algorithm; GPR prediction result; final prediction; prediction accuracy; time efficiency; existing algorithms; term passenger flow forecast; short-term passenger flow forecasting; operation management department; related work;
机译:基于MIC特征选择的轨道交通站和ST-LIGHTGBM考虑转换乘客的短期客运
机译:城市轨道交通短期客流预测的多图卷积网络
机译:城市轨道交通车站客流短期预测的随机系数模型研究
机译:基于Holt-Winters季节性方法的城市轨道交通短期客流预测
机译:新的轻轨交通服务在两个地理层次上运输乘坐和交通拥堵的短期和长期影响
机译:校正:基于经验模式分解的短期短期内存神经网络预测模型的短期地铁乘客流量
机译:基于群集的LSTM网络,用于城市轨道交通的短期客流预测