Flight delay prediction from spatial and temporal perspective

作者：

Highlights：

• A ST-Random Forest is proposed to predict flight delays.

• The new method guaranties the influence of the air traffic network.

• The spatial–temporal effect of the airport is considered.

• The proposed ST-Random Forest model outperforms the benchmark models.

摘要

•A ST-Random Forest is proposed to predict flight delays.•The new method guaranties the influence of the air traffic network.•The spatial–temporal effect of the airport is considered.•The proposed ST-Random Forest model outperforms the benchmark models.

论文关键词：Flight delay prediction,Complex network theory,LSTM approach,ST-Random Forest

论文评审过程：Received 24 October 2021, Revised 8 May 2022, Accepted 27 May 2022, Available online 1 June 2022, Version of Record 3 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117662