How can traffic forecasting reduce congestion?

How can traffic forecasting help reduce congestion in cities?

Traffic forecasting uses data to predict traffic patterns, allowing cities to optimize traffic flow and reduce congestion.

What kind of data is used for traffic forecasting?

Data from sensors, GPS, historical traffic patterns, and weather conditions are commonly used for accurate forecasting.

Can traffic forecasting improve public transportation efficiency?

Yes, by predicting traffic conditions, public transport can adjust schedules and routes to minimize delays.

Are there any successful examples of this in action?

Cities like Los Angeles and Singapore have implemented traffic forecasting systems that significantly reduced congestion.