Use multi-source multi-jurisdictional data to accurately predict traffic/parking/transit at least 30 min in advance.

Recommend optimal traffic management/operational measures, including signal timing, ramp metering, managed lanes, information provision, etc.

Automate the process of data processing, learning, prediction and decision making with no human intervention required.

Assess the effectiveness of real-time traffic management.