Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization

• Published in: Applied soft computing Vol. 109; p. 107538
• Main Authors: Shi, Rui, Xu, Xinyue, Li, Jianmin, Li, Yanqiu
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021
• Subjects: Abnormal events; Bayesian optimization; Extreme gradient boosting machine; High-speed railway; Train arrival delay prediction; Abnormal events; Extreme gradient boosting machine; High-speed railway; Train arrival delay prediction; Bayesian optimization

Accurate train arrival delay prediction is critical for real-time train dispatching and for the improvement of the transportation service. This study proposes a data-driven method that combines eXtreme Gradient Boosting (XGBoost) and a Bayesian optimization (BO) algorithm to predict train arrival de...