AI-powered Sensor Data for Traffic Control

At VivaCity, our vision is to make cities smarter, safer and more sustainable. We provide Local authorities with highly accurate multimodal data on different types of road users, using our AI-powered computer vision sensors.

Constraints of existing junction layouts make it difficult to efficiently and safely process the growing volume of road users, especially active travel modes, using urban networks.

VivaCity computer vision sensors can feed live data into the traffic signal controller (UTC) system, reflecting the real-time usage and demand of the networks.

What's inside:

How AI computer vision can classify and count up to 32 types of road users, and use these data insights to understand behaviours
How VivaCity Labs sensors feed live data into UTC controllers to optimise urban network systems based on real-time demand
The benefits of using AI-powered data and insights for network optimisation as an alternative to building more infrastructure
Real-life application of this solution with an example case study

Download our Smart Signal Control: AI for Detection solution brochure and learn more about optimising junctions and signalling performance with superior AI computer vision.

Be part of the traffic signal control revolution!

VivaCity’s award-winning Smart Signal Control solution empowers cities to reduce congestion using an intelligent signal control algorithm that is able to adapt quickly to changing demand levels and traffic conditions.

Our Smart Signal Control: AI for Optimisation solution has already proved to reduce congestion and improve journey time by up to 23% in the real-world.

The Smart Signal Control Early Adopter Programme (EAP) is an exclusive programme for innovative transport authorities and their partners that want early access and the opportunity to help shape the development of this groundbreaking technology. We’re accepting applications for the Early Adopter Programme (Cohort 2), for those interested in the using AI for Optimisation.

Get in touch to find out more about joining our Early Adopter Programme.