NoTraffic digitizes road infrastructure management, allowing cities to manage their entire grid at the push of a button.
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Cities define transportation policies which are implemented through the platform on both local intersection and city grid scales.
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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.
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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.
