11 September 2022

Optimization Mode


Problem is piling up

While road users are dynamic and ever-changing, traffic signals still work on fixed plans using technology developed over 100 years ago. Add to that the fact that over 90 million new vehicles are introduced to roads every year, resulting in an annual increase of 12% in traffic congestion.


40% of car accidents
occur at the intersection


90 million cars
added to the road every year


Annual increase of 12%
in traffic congestion







Cities maintain full control over traffic management

NoTraffic has developed the first AI-powered traffic signal platform that connects road users to the city grid, solving today’s traffic challenges while preparing cities for the connected and autonomous era.


Optimization at city-grid level

Plug & Play AI sensors provide a human-eye-level measurement of approaching road users. Essential data of all road users is streamed to the cloud in real-time for additional processing. The platform then operates autonomously to reduce delay time by optimizing traffic signals at the city grid level.







AI Sensor

Installed for each intersection approach to provide Road-user detection and classification via a fusion of machine vision and radar. Users are classified at a human-eye level (bikes, pedestrians, trucks, buses, cars, emergency vehicles, etc.) on the edge. Anonymized processed data is streamed to the cloud for city-grid coordination. Connected vehicle capabilities (DSRC and C-V2X) are integrated directly into the sensor units.




AI Optimization Engine

Installed in the traffic light cabinet and retrofitting all types of existing traffic controllers. The AI optimization engine aggregates sensor data variables and monitors safety. The AI optimization engine also acts as a gateway to cloud-based data analytics software and the user portal.