A machine learning model trains the estimation of arrival times (ETA) in shipping on data from the Danish Automatic Identification (AIS) System

1. Data preprocessing
   1. Identification of drives per port and MMSI
   2. Handling NaN, undefined, One-Hot-Encoding
   3. Automatic label generation
2. Model training from scratch for ports
   1. Architecture InceptionTime + Dense
   2. One model for each port (base-model)
3. Transfer of models to each other port
   1. Re-Train certain layers
   2. Iterate with different layers and less data
4. Evaluation (MAE, plots)

• Base-Traning on diagonal
• Transfer from Port X to Port Y