What are the challenges of using AI in traffic prediction?
An example of an AI chatbot conversation about challenges in AI traffic prediction.
What are the main challenges of using AI in traffic prediction?
Some main challenges include data quality, real-time processing, and model accuracy.
How does data quality affect traffic predictions?
Poor data quality can lead to inaccurate predictions, as AI relies on historical data to learn patterns.
What about real-time processing? Why is it important?
Real-time processing is crucial for timely traffic updates, helping to manage congestion and improve safety.
Can you give examples of model accuracy issues?
Model accuracy issues can arise from overfitting, underfitting, or not accounting for unexpected events like accidents.
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