What are the limits of machine learning in traffic management?

What are the limits of machine learning in traffic management?

Machine learning can optimize traffic flow, but it struggles with unpredictable human behavior and real-time data integration.

Can machine learning predict traffic accidents?

Yes, it can analyze patterns and historical data to predict potential accident hotspots, but accuracy varies.

What data is needed for effective machine learning in this area?

Data such as traffic volume, speed, weather conditions, and historical accident reports are crucial for training models.

Are there ethical concerns with using AI in traffic management?

Absolutely, issues like privacy, data security, and bias in decision-making are significant ethical considerations.

How can we improve the limitations of machine learning in traffic management?

Improving data quality, enhancing algorithms, and incorporating human insights can help overcome these limitations.