While congestion levels and average travel times are metrics often assessed at a broader city level, our urban planners were seeking the capability to monitor and manage traffic with finer granularity. The objective was to optimize flow, enhance public safety, and streamline daily commuting. The data indispensable for this ambition, however, was scattered across various traffic sensors, cameras, public transport systems, and third-party mapping services. Many of these systems were not originally designed for interoperability. This siloed data environment made real-time traffic insights hard for decision-makers to grasp. Consolidation and analysis became a labour-intensive task that was delayed, sometimes taking days to provide a coherent picture. The result was reactive traffic management, where city authorities could only respond after congestion or issues became critical.

The urban infrastructure cried out for a solution to leverage its multi-million-dollar investments in traffic systems and answer pressing questions such as:
‍
How can we swiftly reroute traffic in response to sudden congestion or accidents to ensure minimal delays?

How can we predictively manage traffic lights and signals based on real-time flow to reduce gridlocks?

How can we integrate data from public transport and roadways to give commuters the most efficient route choices?

Our platform integrated multiple traffic data sources to produce a “digital twin” of the city's traffic infrastructure, tracing the movement from one end of the city to the other.

Instead of sifting through separate traffic databases and sensor feeds, traffic managers, urban planners, and emergency responders can now engage in a no-code manner with a tangible city model, exploring roads, intersections, public transport routes, and other core city structures. All critical data is presented as an overlay within this immersive 3D environment, making information immediately intuitive and actionable.

This integrated foundation has empowered analysts to construct a detailed real-time traffic management model. With this model at their fingertips, teams can:

Optimize Traffic Flow. Within just days of deployment, an out-of-the-box traffic routing workflow enabled city officials to start enhancing road utilization in real time. They can dynamically adapt to congestion, identify alternate routes, and prioritize essential vehicular movements.

Enhance Public Transport Efficiency. Leveraging the comprehensive traffic model, transport managers can analyze and compare the efficiency of various routes, optimizing bus and tram timings to ensure punctuality and reduce crowding.

And the beauty of it all?

The digital twin of the city’s traffic system is not confined to a single control room. It's designed for the modern age, accessible on any device, anytime, ensuring that decision-makers have the insights they need, whenever they need them.