Research on impact of short-term large-scale events on nearby traffic flow via interpretable machine learning

• Published in: Nanjing Xinxi Gongcheng Daxue Xuebao Vol. 16; no. 2; pp. 221 - 230
• Main Authors: Mingzhu, Wu, Kai, Feng, Jiancheng, Weng, Ruicong, Wei, Jingjing, Wang, Huimin, Qian
• Format: Journal Article
• Language: Chinese
• Published: Nanjing Nanjing University of Information Science & Technology 01.04.2024
• Subjects: Algorithms; Heterogeneity; Machine learning; Network control; Roads & highways; Synergistic effect; Traffic; Traffic flow; Weather

The large number of people and vehicles gathered in a short period of time around large-scale events will lead to a differentiated traffic flow. Here, an interpretable machine learning model integrating XGBoost algorithm and partial dependence plots is proposed to capture the nonlinear effects and s...