Figure 2
The diagram illustrates a data processing and delay prediction model. It starts with operational data, which undergoes data cleaning and preprocessing. This step includes timestamp synchronization, handling missing data, and feature engineering. The processed data is then fed into a delay prediction model, which uses methods such as random forest, LSTM network, and gradient boosting to produce a delay forecast output.Data processing and delay prediction model. Source: Authors’ own work