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Predictive analytics and GIS in transportation planning

Transportation agencies at every level are working toward safer networks, more active and accessible travel, and a smaller carbon footprint. Each of those goals demands a comprehensive, current understanding of the network — and increasingly, the foresight to anticipate how it will change.

From fragmented data to AI-powered foundations

A persistent obstacle has been access to high-quality, up-to-date base-map data. Agencies were often forced to trade off affordability, accuracy, speed and scalability — accurate data traditionally meant slow, costly manual surveys.

Our AI-powered systems remove that compromise, drawing on high-resolution aerial imagery from an extensive partner network to generate high-precision vector maps automatically — no manual digitisation, while keeping the accuracy planning demands.

Analytics that look ahead

On a detailed, current network layer, predictive analytics and GIS turn raw data into foresight — modelling demand, anticipating risk and targeting the interventions that make networks safer, smarter and more sustainable.