TRL Software today announce the launch of SCOOT® 8 AI, the world’s first AI-powered predictive solution for Urban Traffic Control (UTC). Building on five decades
Milton Keynes City Council has appointed TRL Software to deploy its cutting-edge Urban Traffic Control (UTC) system, powered by the world-renowned SCOOT® signal optimisation technology,
While AI, data integration, and predictive modelling are transforming infrastructure management, many local authorities and road networks are still relying on outdated tools and workflows.
World Traffic Light Day, observed annually on 5th August, holds particular significance for Great Britain, where the world’s first traffic light was installed in 1868
TRL, in partnership with the World Bank, is proud to announce the next-generation Highway Development and Management Model (HDM-5), a vital upgrade to the world’s
The sales pitch for autonomous vehicles is seductive. Picture this: roads free from human error. Traffic flowing in perfect harmony. No more drink-driving fatalities. No
TRL Software’s innovative iROADS asset management platform has been awarded the 2025 IRF Global Road Achievement Award for Climate Resilience and Adaptation, recognising its pivotal
In 1949, George Orwell wrote about … nope, not going there. No 1984 here. Remember when the most sophisticated technology in your car was an
Corporate surveillance is concerning enough, but it’s what happens when governments get involved that should really worry us. Vehicle data represents an intelligence goldmine that
TRL Software has successfully rolled out a new digital pavement asset management system for Malta Transport called TM Roads, to enhance roadworks coordination and public
In 2006 mathematician Clive Humby famously declared that “data is the new oil.” Nearly two decades later, as we navigate roads filled with increasingly connected
For generations, the relationship between public infrastructure and society has been foundational to all aspects of life. Motorways, local roads, junctions, and traffic signals were