Combination predicting model of traffic congestion index in weekdays based on LightGBM-GRU

• Published in: Scientific reports Vol. 12; no. 1; pp. 2912 - 13
• Main Authors: Cheng, Wei, Li, Jiang-lin, Xiao, Hai-Cheng, Ji, Li-na
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 21.02.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/986; 639/705; 639/705/1046; Accuracy; Algorithms; Datasets; Deep learning; Humanities and Social Sciences; Machine learning; multidisciplinary; Neural networks; Periodicity; Prediction models; Science; Science (multidisciplinary); Traffic congestion; Traffic control

Tree-based and deep learning methods can automatically generate useful features. Not only can it enhance the original feature representation, but it can also learn to generate new features. This paper develops a strategy based on Light Gradient Boosting Machine (LightGBM or LGB) and Gated Recurrent...