Despite these growing pressures, 99% of the world’s traffic signals still operate on fixed timing systems, creating unnecessary delays, congestion, and emissions.
To address these inefficiencies, NoTraffic has introduced its AI Mobility platform, a cutting-edge solution designed to predict road scenarios, optimize traffic flow, and improve safety at intersections across the United States, Canada, and beyond.
The platform integrates Nvidia-powered software and hardware at the edge, running on a cloud-based operating system. Built on the Nvidia Jetson edge AI platform, it leverages Nvidia’s accelerated computing and the Metropolis vision AI developer stack for seamless operation.
“With Nvidia accelerated computing, we achieved a threefold speedup in AI training and doubled the energy efficiency of AI Mobility,” said Uriel Katz, co-founder and chief technology officer of NoTraffic. “Nvidia Jetson sped up image preprocessing tasks by 40 times compared with CPU-only workflows, while GPU-accelerated CUDA libraries boosted our model throughput by 30 times.”
These libraries include Nvidia TensorRT, which enhances high-performance deep learning inference, and cuDNN, a collection of primitives for deep neural networks.
Transforming Traffic in Tucson, Vancouver, and Beyond
In Tucson, Arizona, NoTraffic’s platform has been deployed at over 80 intersections, leading to a dramatic 46% reduction in road delays during rush hours and a half-mile decrease in peak queue lengths.
This expansion builds on a pilot project along Tucson’s West Ajo Way, which reduced average delays by 23% for drivers. Since installation, NoTraffic estimates its technology has saved Tucson drivers over 1.25 million hours in traffic—an economic benefit of $24.3 million. Additionally, red-light running incidents have fallen by nearly 80%, enhancing safety at intersections.
The environmental impact is equally significant. Tucson drivers have saved more than $1.6 million in fuel costs, with the emissions reduction equivalent to planting 650,000 trees.
In Vancouver, Canada, the University of British Columbia (UBC) is leveraging NoTraffic’s platform alongside Rogers Communications’ 5G-connected, AI-enabled smart traffic network. The collaboration has reduced pedestrian delays by up to 40% and cut vehicle wait times.
Powered by Nvidia edge AI and accelerated computing, the system has also slashed UBC’s annual carbon emissions by 74 tons—the equivalent of removing dozens of cars from the roads each year.
The Road Ahead: Smarter Cities, Cleaner Air
NoTraffic’s AI Mobility platform operates by analyzing sensor data at intersections to predict and adapt to traffic patterns in real-time. This system enables intercommunication between intersections, dynamically adjusts signal timings, and runs optimization algorithms to improve transportation efficiency and safety.
By reducing congestion, the platform lowers vehicle emissions and saves drivers time. NoTraffic estimates that for every city implementing its system, each driver could save eight hours of traffic annually. With over 300,000 signalized intersections in the U.S., these optimizations could generate $14 billion in annual economic savings.
Already deployed in cities like Phoenix, Baltimore, and across 35 states, NoTraffic is reshaping the future of urban mobility, making roads safer, travel faster, and cities greener.