Improving public transit demand forecasting models in case of disruptions: an integrated approach using explainable AI
Date:
This talk presents an integrated approach using a module for disruption detection (Random Forest) and a demand forecasting module (LSTM) to better assess mobility behaviours in the event of disruptions. [Video]