基于lightgbm的地铁客运量预测模型( LightGBM-based model for metro passenger volume forecasting )

Y Zhang C Zhu Q Wang learning (artificial intelligence) transportation traffic engineering computing forecasting theory optimisation Big Data variational techniques metro passenger volume prediction VMD‐TPE‐LightGBM time interval time features hidden pattern extraction variational mode decomposition algorithm original data series LightGBM model short‐term metro passenger volume forecasting novel LightGBM‐based model Big Data artificial intelligence potential traffic patterns transport infrastructure stability metro system optimization light gradient boosting machine Parzen estimators K‐fold cross‐validation tuning method time 10min

学习（人工智能）交通交通工程计算预测理论优化大数据变分技术地铁客运量预测VMD-TPE-LightGBM时间间隔时间特征隐模式提取变分模式分解算法原始数据序列LightGBM模型短期地铁客运量预测基于LightGBM的新模型大数据人工智能潜在交通模式交通基础设施稳定性地铁系统优化光梯度提升机Parzen估计器K折交叉验证调谐方法时间10min

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