What factors affect AI traffic predictions?

What factors affect AI traffic predictions?

AI traffic predictions are influenced by various factors including historical traffic data, weather conditions, time of day, and special events.

How does historical data impact these predictions?

Historical data helps AI models learn patterns and trends, allowing them to make more accurate predictions based on past traffic behavior.

Are there specific algorithms that work better for traffic predictions?

Yes, algorithms like neural networks and decision trees are commonly used, as they can effectively analyze complex datasets.

What role does real-time data play in improving predictions?

Real-time data allows AI to adjust predictions based on current conditions, making them more accurate and responsive to changes.