With increasing traffic congestion causing inefficiency for road users, freight delays, negative environmental impact due to idling and fuel consumption, and compromised pedestrian and cycling safety, cities are ultimately faced with a costly infrastructure problem.

Viva, a member of NVIDIA Metropolis and Inception programs, is at the forefront of solving many of these transportation-related challenges, but we don’t always talk specifically about the technologies that help make transforming traffic management with AI possible.

Over the past few years, the NVIDIA Jetson platform for edge AI and robotics has helped Viva run true AI at the edge and benefit from generational increases in processing power. Viva was one of the first adopters of the NVIDIA Jetson platform, which helped the company run true AI at the edge as early as 2016. Fast forward eight years and Viva has deployed city-wide networks of sensors that provide clients with an all-in-one data solution for understanding how their road space is operating.

NVIDIA Jetson system-on-modules have enabled us to move processing to the edge, helping remove the need to transmit video and thereby protect citizens’ personal data. It has also helped us focus on providing unprecedented insights through video analytics to help cities make safer, more sustainable ways to travel.

With solutions to tackle the most challenging urban transport issues, Viva will be heading to NVIDIA GTC in San Jose on March 18-21 to present on Overcoming London’s Commuting Conditions with Computer Vision. This presentation will showcase how Transport for London has leveraged the power of Viva’s NVIDIA AI-powered computer vision solutions to make roads better and help the city achieve its goal for Vision Zero while planning new Cycleways across London.

In this session, Viva co-founder and COO Peter Mildon will present the background and unique insight taken from Viva’s AI-driven deployment in London – a city that has the world’s highest traffic delay times, according to INRIX. He’ll also explain how Viva has implemented computer vision to capture anonymized multimodal road user data, enabling the most accurate, reliable, and scalable insights. The presentation also covers deploying sensors to monitor the attainment of the 80% Active Travel and PT mode share target by 2030.

Peter will also answer questions about the company’s key sensor deployment in New York City. Viva is working with the New York City Department of Transportation on a new safety data analysis project. Viva’s sensors gather anonymized data showing how different street users move (or don’t) through the city. They can monitor how many vehicles or people are traveling in which direction, where and when congestion occurs, and even detect “near misses” between vehicles and vulnerable road users.

If you’re heading to NVIDIA GTC, please contact us if you’d like to learn more about how Viva is working with AI at the edge with NVIDIA Jetson.

Learn more about our smart traffic products and get in touch with team if you have any questions.

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