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Inrix announces next-gen AI traffic tools
The transport data and analytics firm is introducing expanded automation, generative AI capabilities, enhanced incident detection, and continuous analytics.
At a glance
Who: Inrix.
What: Inrix has announced a major expansion of its Traffic family of products featuring new generative AI capabilities, and enhanced incident detection.
Why: To enable customers to shift from reactive real-time operations to more proactive, safety-focused planning – responding faster to incidents, surfacing risks earlier, and operating with greater confidence in the accuracy and consistency of the data.
Where: Some of the tools are already live in Canada and the UK, with expanded coverage to Germany, Spain, France, Italy, and Sweden in 2026.
Transportation data and analytics specialist, Inrix, has announced a major expansion of its Traffic family of products featuring new generative AI capabilities, and enhanced incident detection.
With this new generation of automation and intelligence, Inrix is seeking to help transportation agencies and enterprises move faster from analysing data to making decisions.
Safety-focused planning
Inrix claims these capabilities enable customers to shift from reactive real-time operations to more proactive, safety-focused planning – responding faster to incidents, surfacing risks earlier, and operating with greater confidence in the accuracy and consistency of the data.
“Transportation professionals are being asked to do more with fewer resources, while also delivering safer and more reliable roads,” said Bryan Mistele, CEO of Inrix. “We continue to invest heavily in AI across our Traffic product family to improve everyday workflows, helping cities, businesses and government agencies move faster from data to decisions, history to predictions, and insight to action.”
“Transportation professionals are being asked to do more with fewer resources, while also delivering safer and more reliable roads”
The newest generation of Traffic products, which Inrix claims set a stronger foundation for scalable, trustworthy traffic operations, include:
AI-generated radio traffic reports
- The company is extending the same AI-first innovation behind Compass into the media world with AI Traffic Reporter, a fully automated product that transforms validated incident intelligence and connected-vehicle signals into broadcast-ready traffic bulletins, using advanced generative AI. Designed for radio networks, Inrix claims the system produces consistent, natural-sounding, human‑like updates at scale, day or night, so partners can move faster from raw events to ready-to-air reporting without the bottlenecks of manual scripting.
Average daily traffic goes global
- Inrix expanded its global traffic intelligence portfolio with the introduction of Volume Profiles globally. Built on a multi‑source, normalisation‑based AI model and validated against ground-truth data, Volume Profiles provides directional, time‑of‑day, and day‑of‑week vehicle volumes in 15‑minute increments, enabling agencies and businesses to replace costly manual counts with consistent, continuously updated insights.
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Modernising traffic signals with AI analytics
- New innovations also include significant enhancements to Signal Analytics, helping agencies move beyond periodic retiming studies toward continuous data. Enhancements focused on making it easier for traffic engineers to monitor performance at scale, identify issues faster, and evaluate the real-world impact of signal timing changes without relying on costly field equipment or manual data collection.
Key Signal Analytics enhancements include:
- Expanded continuous monitoring of signalised intersections and corridors, enabling agencies to track performance trends over time rather than relying on snapshot studies
- Improved tools for engineers to quickly measure the impact of timing changes, safety treatments, or corridor upgrades
- Usability and workflow improvements designed to reduce the time required to move from performance data to actionable insights for signal operations teams
- Ongoing platform and API enhancements that lay the foundation for continuous improvements.
By applying advanced analytics and machine learning to probe data, Inrix reckons it helps traffic engineers identify inefficient intersections, prioritise retiming efforts, and improve travel time reliability and safety across signalised networks, all while reducing the burden on engineering staff.
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How does AI-generated radio reporting transform incident-to-bulletin workflows?How can Volume Profiles replace manual traffic counts reliably?How do continuous Signal Analytics detect and quantify timing improvements?How will enhanced incident detection reduce emergency response times?How is data validation performed to ensure trustworthy traffic insights?Latest City Profile
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