Smarter AI Powered Traffic Management

The Problem

Traffic in major cities is getting worse over time. It is undoubtedly a major global problem. Traffic congestion has a major impact on traveling time, energy consumption, psychological problems and emission issues as well. Can AI be used to manage traffic better?

Solution

Machine Learning and computer vision models deployed on Kranium can help authorities manage traffic better. Machine learning models can predict traffic conditions and relay that information to local authorities for better traffic management. Such models can also take into account multiple factors like road closings, holidays, events and others to make accurate predictions in real-time.

Machine learning models can also analyse historical data to suggest alternatives, better urban designs, improvements for better fuel efficiency and more.

Computer vision models can also be deployed to ensure rules are being followed. For instance, such models can detect crossing of red light, if a rider is not wearing helmets, if car occupants are not wearing seatbelts, if driver us using mobile phone and more.