How does machine learning work in traffic prediction?

Can you explain how machine learning is used in traffic prediction?

Sure! Machine learning analyzes historical traffic data to identify patterns and predict future traffic conditions.

What kind of data is used for these predictions?

Data such as traffic volume, speed, weather conditions, and even social events are used to train the models.

How accurate are these predictions?

The accuracy can vary, but advanced models can achieve over 80% accuracy in predicting traffic conditions.

Are there specific algorithms that are commonly used?

Yes, algorithms like decision trees, neural networks, and support vector machines are commonly used in traffic prediction.