NoTraffic digitizes road infrastructure management, allowing cities to manage their entire grid.
Using NoTraffic’s VMC, city officials define transportation
policies which are implemented through the platform on
both a local intersection and city-grid scale. The NoTraffic
platform is managed via a cloud-native user portal.
This VMC includes a full data analytics suite with detailed vehicle counts, a running log of signal operations, and real-time status information. Users select from a variety of user-friendly traffic policy preferences such as prioritizing pedestrians at certain intersections or establishing a public transit corridor along a bus route.
Plug & Play AI sensors provide 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.
Installed at 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 on the edge (bikes, pedestrians, trucks, buses, cars, emergency vehicles, etc.). 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.
Installed in the traffic light cabinet and retrofitting all types of existing traffic controllers.
The AI optimization engine aggregates sensor data from each approach, calculates optimization variables, and monitors safety.
The AI optimization engine also acts as a gateway to cloud-based data analytics software and the user portal.