How does traffic forecasting influence urban planning decisions?

How does traffic forecasting influence urban planning decisions?

Traffic forecasting helps urban planners predict future traffic patterns, enabling better infrastructure development.

Can you give examples of how this has been applied in real cities?

Sure! Cities like Los Angeles use traffic forecasting to optimize road networks and public transport systems.

What tools are commonly used for traffic forecasting?

Common tools include simulation software, historical data analysis, and machine learning algorithms to predict traffic flow.

Are there any challenges in traffic forecasting?

Yes, challenges include data accuracy, changing travel behaviors, and unforeseen events like accidents or roadworks.