Alessandro Giovannini@alegio98

Key Features 1. Dynamic Trip Planning Features: Suggest optimal times to travel, based on traffic flows and public transport schedules. Integrate GTFS data to provide timely and synchronized alternatives. Indicate whether a route is preferable at a certain time using public transport, on foot, by bike or with a private vehicle. Use Example: "If you want to reach Piazza Duomo by 9:00, leave by 8:15 and use metro line 1, because road traffic increases by 20% after this time." 2. Environmental Awareness Features: Show the environmental impact of different travel options (e.g. CO₂ emitted by car vs. public transport). Suggest eco-friendly routes, considering the air quality in different areas. Use Example: "Using the bus allows you to avoid an area with high levels of PM2.5, improving your environmental exposure." 3. Congestion and Delay Forecasting Features: Use historical and real-time traffic flow data to predict future congestion. Analyze the probability of delays in public transport based on past schedules and data. Use Case: "Traffic on the eastern ring road is expected to increase between 5:30 PM and 6:30 PM. We recommend tram line 3 as an alternative." Use Case Scenarios Commuter: Anna lives in the suburbs and commutes to Milan for work. The app suggests she leave at 7:30 instead of 8:00, avoiding heavy traffic and reducing the total travel time by 15%. Environmentally Aware Citizen: Luca wants to jog without exposing his lungs to high levels of PM10. The app suggests an alternative, cleaner and less busy route. City Administration: The data collected helps the administration plan temporary detours to ease traffic in congested areas during public events.