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 variability.

Can machine learning predict traffic accidents?

Yes, it can analyze patterns to predict accidents, but accuracy depends on data quality and external factors.

What data is needed for effective traffic management using AI?

Effective traffic management requires data from sensors, cameras, historical traffic patterns, and weather conditions.

Are there ethical concerns with using AI in traffic systems?

Yes, concerns include privacy issues, data security, and the potential for biased algorithms affecting traffic decisions.

How can we improve machine learning models for traffic management?

Improving models involves using diverse data sources, continuous learning from new data, and incorporating human insights.