Data-Driven Signal Optimization Keeps Traffic Moving

Traffic signal timing — a difficult and costly problem to solve.

Managing traffic signals is complex: traffic patterns change rapidly and there are more modes and objectives (e.g. safety, network efficiency, economic impact) to consider. Today, transportation agencies are stuck in a reactive “firefighting” mode with limited data to manage signals, but data integration and Artificial Intelligence (AI) can help agencies proactively manage traffic signals.

70 hours

Manual Hours To Retime Intersections

3-5 Years

Average Time Between Signal Timing Updates

350,000+

Traffic Signals in the U.S.

On-demand signal optimization updates signals as traffic patterns change

Signals your timing problems

Early insights show agencies where the biggest problems are so you can manage your operations before complaints arise.

Performance prediction

Analyze current traffic patterns and test different strategies for the most effective timing plan to improve mobility and safety.

Instant updates

Automatically generate optimized timing plans whenever you need to with a simple click on your computer.

Understand performance improvements

Actively monitor how your new timing plans are doing in the field and quantify the benefits of your new timing plans.