AI powered signal control
Smart Signal Control: AI for Optimization utilises intelligent signal control algorithms to reduce congestion.
Vast quantities of anonymous Viva data have been used to develop traffic simulation models representative of real-world demands.
Congestion-busting algorithms have been developed against these simulations to enable rapid, seamless responses to varying demand levels.
AI for Optimisation increases network performance by reducing delay and removes the need for manual intervention.
Congestion is an economic and environmental threat
Congestion costs drivers, businesses and the economy billions each year, and it’s projected to increase around 27% between 2025 and 2060.
There is huge pressure on highway authorities to improve the reliability and performance of the road network.
This is essential from an environmental perspective too – start-stop traffic is a major source of urban pollution.