INRIX Announces New Generation of AI Traffic Products: Helping to Improve Safety, Reduce Congestion, and Enhance Mobility Operations

New generative AI capabilities, enhanced incident detection, and expanded customer deployments mark a major evolution of the INRIX Traffic product family

BELLEVUE, Wash.–(BUSINESS WIRE)–INRIX, a global leader in transportation data and analytics, today announced a major expansion of its Traffic family of products, delivering innovative AI-driven capabilities to help transportation agencies and logistics organizations move from reactive traffic management to proactive, safety-focused and efficient operations.

Over twenty years ago, INRIX commercialized the first system to use GPS data to create real-time traffic information. In 2019, INRIX launched AI Traffic – the world’s first traffic platform to leverage deep learning models and AI to improve the quality and analysis globally. Now, INRIX is launching a new generation of automation and intelligence to help agencies and enterprises move faster from analyzing data to making decisions.

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. Together, these investments define the newest INRIX generation of Traffic products, setting a stronger foundation for scalable, trustworthy traffic operations.

“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.”

AI-Generated Radio Traffic Reports

INRIX is extending the same AI-first innovation behind INRIX Compass into the media world with INRIX 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, 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 launch of Volume Profiles globally. Built on an innovative multi‑source, normalization‑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. The product delivers monthly, quarterly, and annual profiles that support transportation planning, safety analysis, site selection, and performance monitoring, while removing reliance on any single data provider and improving stability across markets. INRIX has already released Volume Profiles in Canada and the UK, with expanded coverage to Germany, Spain, France, Italy, and Sweden in 2026.

Expanded Insights with Observed Speeds

INRIX Speed Distribution Profiles marked a major step forward in how transportation agencies understand and manage speeding risk. Unlike traditional speed datasets that rely on averages or isolated field studies, Speed Distribution Profiles provide a full statistical view of observed vehicle speeds—by roadway, direction, time of day, and day of week—using connected vehicle data collected across the road network. This percentile‑based approach allows agencies to move beyond snapshots and identify systemic speeding behavior, pinpoint high‑risk corridors, and evaluate the effectiveness of policy, enforcement, and roadway design changes using real‑world evidence.

Strengthening Map Agnostic Incident Support

INRIX is expanding the use of OpenLR‑based location-referencing to deliver more consistent, map‑agnostic traffic and incident intelligence globally. New innovations will enable INRIX to deliver incident intelligence across all roads, regardless of proprietary map segments or Traffic Message Channel (TMC) coverage. By improving how incidents are dynamically referenced on off‑TMC roads and slip roads, INRIX can accurately tie events to entry, exit, and connector roadways rather than generalized to nearby mainlines. These improvements reinforce a completely map‑agnostic, future‑proof approach to traffic intelligence, delivering consistent, high‑fidelity incident data across diverse road geometries and customer map ecosystems.

Modernizing Traffic Signals with AI Analytics

New innovations also include significant enhancements to INRIX 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 signalized 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 helps traffic engineers identify inefficient intersections, prioritize retiming efforts, and improve travel time reliability and safety across signalized networks, all while reducing the burden on engineering staff.

Helping Transportation Professionals Succeed

These enhancements build on INRIX’s broader investment in AI across its Traffic portfolio, supporting a more proactive system. This new generation of innovative Traffic products is all about simplifying workflows, automating analysis, and improving usability. From generative AI insights to more reliable real-time data, INRIX Traffic products help agencies:

• Move from reactive response to faster, more confident incident management
• Proactively surface safety risks and systemic issues
• Replace episodic studies and manual counts with continuous, network‑wide intelligence
• Deliver clear, credible insights to leadership, partners, and the public

About INRIX

Founded in 2004, INRIX pioneered intelligent mobility solutions by transforming big data from connected devices and vehicles into mobility insights. INRIX has harnessed machine learning and artificial intelligence to deliver precise and actionable mobility data. This revolutionary approach enabled INRIX to become one of the leading providers of data and analytics in people and vehicle movement. With partners and solutions spanning across the mobility ecosystem, INRIX is uniquely positioned at the intersection of technology and transportation. Learn more at INRIX.com

Contacts

Media Contact

Lucy Meneghello
Communiqué PR for INRIX
INRIX@communiquepr.com
2062824923 ext. 129