What are the challenges in traffic prediction?

What are the main challenges in traffic prediction?

Some key challenges include data quality, real-time processing, and the unpredictability of human behavior.

How does weather affect traffic predictions?

Weather can significantly impact traffic patterns, causing delays and altering driver behavior, which complicates predictions.

What technologies are used to improve traffic prediction?

Technologies like machine learning, IoT sensors, and big data analytics are commonly used to enhance traffic prediction accuracy.

Can traffic prediction models adapt to sudden changes?

Yes, advanced models can adapt to sudden changes by incorporating real-time data and learning from new patterns.

What role does historical data play in traffic prediction?

Historical data is crucial as it helps models identify patterns and trends, improving the accuracy of future predictions.