INRIX smart_city
With a major upgrade of its Traffic product family, INRIX is positioning itself as a key enabler of next-generation mobility management. The Bellevue-based transportation data specialist announced a comprehensive expansion of its AI-driven solutions aimed at helping public agencies and logistics operators shift from reactive traffic management to proactive, safety-focused operations.
More than twenty years after commercializing one of the first GPS-based real-time traffic systems, and following the launch of its AI Traffic platform in 2019, INRIX is now introducing a new wave of automation and intelligence. The focus: faster decision-making, improved data consistency, and scalable, trustworthy traffic operations.
At the heart of the update are new generative AI capabilities. With the AI Traffic Reporter, validated incident data and connected vehicle signals can be automatically transformed into broadcast-ready radio bulletins. The system generates natural-sounding, human-like traffic updates around the clock — eliminating manual scripting bottlenecks for media partners.
INRIX is also expanding its global analytics footprint. Its new Volume Profiles provide directional vehicle volumes in 15-minute increments, based on multi-source AI models validated against ground-truth data. Already available in Canada and the UK, the solution will expand to Germany, Spain, France, Italy, and Sweden in 2026, supporting planning, safety analysis, and infrastructure optimization.
Another key development is the enhancement of Speed Distribution Profiles. Instead of relying on average speeds, the platform delivers a full statistical view of real-world vehicle speeds across road networks. This percentile-based approach enables agencies to identify systemic speeding risks and evaluate policy or infrastructure measures using empirical evidence.
Further improvements include map-agnostic incident referencing via OpenLR, ensuring more precise localization of incidents beyond traditional TMC coverage, as well as significant upgrades to Signal Analytics. The latter enables continuous monitoring of signalized intersections, helping traffic engineers move from periodic studies to ongoing performance optimization — without costly field equipment.
With these investments, INRIX underscores its ambition to help transportation professionals operate smarter road networks. By combining generative AI, machine learning, and connected vehicle data, the company aims to move the industry from “data to decisions” — and ultimately toward safer, more efficient mobility systems worldwide.
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