What are the limitations of AI in traffic forecasting?

What are the limitations of AI in traffic forecasting?

AI in traffic forecasting faces challenges like data quality, real-time processing, and unpredictability of human behavior.

Can AI handle unexpected traffic events like accidents?

AI can struggle with unexpected events as it relies on historical data, which may not account for sudden changes.

How does weather affect AI traffic predictions?

Weather can significantly impact traffic patterns, but AI models may not always incorporate real-time weather data effectively.

Are there any ethical concerns with using AI in traffic management?

Yes, ethical concerns include privacy issues, data bias, and the potential for unequal access to traffic management technologies.

What improvements are being made to overcome these limitations?

Improvements include better data collection methods, integrating real-time data, and enhancing algorithms to adapt to new situations.