Tag #Optimization

How will the integration of different data sources contribute to creating an accurate and effective model for optimizing rural public transportation?

The project uses a digital twin and machine learning to analyze anonymized data from various sources (census, vehicle movements, mobile phone usage, public transit data). This will create a model to simulate and optimize various scenarios, including changes to schedules and stops, aiming for better efficiency and coverage.