AI Traffic Management Solutions Expand with Proactive Safety and Automation

INRIX has expanded its portfolio of AI Traffic Management Solutions to help transportation agencies and logistics operators transition from reactive traffic response to proactive, safety-focused operations. Leveraging over two decades of GPS-based real-time traffic reporting and the foundation established with AI Traffic in 2019, the latest advancements integrate automation, advanced analytics, and continuous intelligence. These AI Traffic Management Solutions are designed to shorten the path from raw traffic data to actionable decisions, enabling improved roadway safety, operational efficiency, and smarter infrastructure management.

Generative Reporting and Automated Intelligence

The evolution of AI Traffic Management Solutions introduces advanced automation that reduces manual intervention in traffic reporting workflows. By integrating generative technologies with verified datasets, agencies can streamline communication and operational response.

AI Traffic Reporter

The AI Traffic Reporter is a generative AI reporting system that transforms validated incident and vehicle data into broadcast-ready, natural-sounding radio traffic updates. This capability enhances speed and accuracy in disseminating real-time information, reducing dependency on manual scripting while maintaining reliability. By embedding generative AI reporting within AI Traffic Management Solutions, agencies can ensure consistent public communication during congestion, incidents, and disruptions.

Advanced Traffic Volume and Speed Analytics

Data-driven planning is central to AI Traffic Management Solutions, particularly with the introduction of AI-powered traffic volume data and speed analytics. These enhancements provide deeper visibility into roadway performance and safety patterns.

Global Volume Profiles

Global Volume Profiles deliver AI-powered, multi-source traffic volume data with 15-minute interval granularity. Insights are segmented by direction, time of day, and day of week, enabling more precise infrastructure planning and corridor optimization. Currently available in Canada and the United Kingdom, further European expansion is planned for 2026, strengthening the geographic reach of AI Traffic Management Solutions.

Speed Distribution Profiles

Speed Distribution Profiles apply percentile-based analytics using connected vehicle data to help agencies evaluate risk exposure and measure the effectiveness of safety interventions. By moving beyond average speed metrics, these AI Traffic Management Solutions provide a clearer understanding of high-risk speed behaviors and support targeted enforcement or engineering strategies.

Map-Agnostic Incident Intelligence

Accurate incident detection is critical for effective traffic operations. AI Traffic Management Solutions now incorporate expanded OpenLR-based referencing to improve incident intelligence across diverse road types, including off-TMC routes and slip roads. This map-agnostic approach enhances cross-platform compatibility and ensures consistent data precision across complex transportation networks.

Enhanced Signal Analytics for Continuous Optimization

Signal performance remains a cornerstone of urban mobility. AI Traffic Management Solutions now feature enhanced traffic signal analytics with continuous monitoring and AI-driven evaluation of signal timing adjustments. Engineers can assess corridor performance in near real time, optimize synchronization, and reduce congestion-related delays. By integrating signal intelligence within a unified workflow, these solutions support long-term safety improvements and smarter city infrastructure outcomes.

Through automation, connected vehicle data integration, generative AI reporting, and advanced traffic signal analytics, AI Traffic Management Solutions enable agencies to simplify workflows, enhance safety performance, and deliver proactive traffic operations at scale.