INRIX Compass advances Vision Zero road safety strategies with AI. Date: March 28, 2026 Road safety has stubbornly resisted improvement in many advanced economies, even as vehicles become safer and infrastructure more sophisticated. In the United States alone, more than 40,000 people lose their lives on the roads each year, a figure that continues to weigh heavily on policymakers, transport agencies and city planners. Against that backdrop, the industry is steadily shifting from reactive reporting towards predictive, data-led intervention, where identifying risk early is the difference between prevention and tragedy. Into this evolving landscape steps INRIX with a new generative AI-driven solution designed specifically for safety analytics. Its latest platform, INRIX Compass, aims to equip transportation agencies with the tools to uncover systemic safety risks before collisions occur, not after. By combining large-scale traffic data with artificial intelligence, the company is positioning itself at the intersection of mobility intelligence and proactive infrastructure management. Briefing. * AI-driven platform analyses speed, exposure and behavioural data to identify systemic road safety risks * Designed to support transport agencies in shifting from reactive analysis to proactive intervention * Integrates large language models with a proprietary mobility data lake * Early adopters report faster evaluation of safety projects and improved decision-making * Built on Amazon Bedrock to enable scalable deployment of generative AI applications From reactive reporting to predictive intervention. For decades, road safety strategies have leaned heavily on historical crash data. While valuable, that approach often means action is taken only after patterns of harm have already emerged. The challenge is clear: by the time a corridor is identified as high risk, the damage has already been done. INRIX Compass represents a shift in thinking. Rather than waiting for incidents to accumulate, it analyses leading indicators such as speeding trends, hard braking events and exposure levels for vulnerable road users. These data points, when aggregated across large networks, can highlight patterns of risk that are otherwise invisible in traditional reporting systems. The implications for infrastructure planning are significant. Early identification of risk allows agencies to prioritise interventions such as traffic calming, signal timing adjustments or protected cycling infrastructure. In practical terms, it shortens the gap between detection and action, a critical factor when the objective is to reduce fatalities and serious injuries. Harnessing big data for real world decisions. At the core of INRIX Compass is a vast data ecosystem built from connected vehicles, mobile devices and roadway sensors. INRIX has spent two decades developing its mobility data capabilities, turning anonymised movement patterns into actionable intelligence for both public and private sector stakeholders. What sets Compass apart is how that data is interpreted. By leveraging large language models, the system can synthesise complex datasets and translate them into practical insights for safety teams. Instead of requiring specialist data analysts to interpret raw information, agencies can access recommendations aligned with established frameworks such as Federal Highway Administration safety guidance. This matters because many transport authorities face resource constraints. Smaller municipalities in particular may lack the in-house expertise to conduct advanced safety analytics. Tools that simplify interpretation while maintaining rigour can help level the playing field, enabling more consistent safety outcomes across regions. Early adoption signals operational value. Initial deployments of INRIX Compass are already offering a glimpse into its practical applications. In Miami-Dade County, the platform has been used to integrate multiple data sources, providing a clearer picture of systemic safety risks across the network. "We're incredibly excited about the potential of INRIX Compass to deliver even more value by helping us combine disparate data sources to gain a better understanding about systemic safety risks and support proposing FHWA Proven Safety Countermeasures," said Jarice Rodriguez, Interim Chief Paratransit Operations, Miami-Dade County Office of Innovation and Mobility Services. "Compass and INRIX Safety Analytics platform has made an immediate impact across multiple teams at Miami-Dade County. The ability to easily analyse volume, speed, and vulnerable road user data to better protect pedestrians, cyclists and all roadway users across our network is enabling us to deliver on key outcomes for both our USDOT SMART Grant and the County's broader vision-zero initiatives." Similarly, in Las Vegas, the system is being explored as a way to accelerate corridor-level analysis and evaluate safety improvements more efficiently. "We've used INRIX safety data to help us with before/after analysis on areas where we have completed safety improvements. It has been a big time-saver in project evaluation," said Lia Grimaldi, Engineering Project Manager with the City of Las Vegas. "We are excited to experiment with Compass to see how we can quickly analyze various corridors and implement appropriate FHWA Proven Safety Countermeasures." These early use cases suggest that the technology is not simply theoretical. Instead, it is already influencing how agencies approach safety planning, project evaluation and funding justification. Cloud infrastructure meets mobility intelligence. The technical backbone of INRIX Compass is built on Amazon Web Services, specifically leveraging Amazon Bedrock. This partnership enables the platform to access a range of foundation models while maintaining the flexibility to tailor outputs to transportation-specific use cases. Cloud-based deployment offers several advantages. It allows agencies to scale analytics capabilities without investing in on-premise infrastructure, and it ensures that models can be continuously updated as new data becomes available. In a field where conditions change rapidly, from seasonal traffic patterns to evolving urban mobility trends, that adaptability is essential. Equally important is the integration of domain knowledge. Generative AI systems can only be effective if they are grounded in the realities of the sector they serve. By combining its proprietary data with established safety frameworks, INRIX is attempting to bridge the gap between raw computational power and practical application. Aligning with Vision Zero and global safety strategies. Globally, road safety initiatives such as Vision Zero have gained traction as governments commit to eliminating traffic fatalities. While the ambition is clear, implementation remains complex, often hindered by fragmented data, limited resources and competing priorities. Tools like INRIX Compass could play a role in accelerating progress. By identifying high-risk corridors and recommending evidence-based interventions, the platform supports a more targeted allocation of funding and resources. This is particularly relevant in an era where infrastructure budgets are under pressure and projects must demonstrate measurable outcomes. Beyond the United States, the broader applicability of such systems is evident. Many countries are grappling with rising urbanisation, increased traffic volumes and the need to protect vulnerable road users. Data-driven safety analytics offers a pathway to address these challenges in a structured and scalable way. The commercial and strategic implications. From a market perspective, the launch of INRIX Compass reflects a wider trend towards embedding artificial intelligence into infrastructure management. As transport systems become more complex, the ability to extract meaningful insights from data is becoming a competitive differentiator. For INRIX, the move strengthens its position within the mobility analytics ecosystem. The company has long been recognised for its traffic data services, but the addition of generative AI capabilities expands its offering into decision support and predictive analytics. For transport agencies and policymakers, the implications are equally significant. Access to advanced analytics tools can enhance planning processes, improve safety outcomes and support compliance with regulatory frameworks. In turn, this can influence funding decisions, project prioritisation and long-term infrastructure strategy. Data driven safety becomes the new baseline. The evolution of road safety analytics is unlikely to slow. As connected vehicles, smart infrastructure and digital twins become more prevalent, the volume and granularity of data will continue to increase. The challenge will be less about collecting information and more about interpreting it effectively. INRIX Compass represents one step in that direction. By combining data, artificial intelligence and domain expertise, it offers a glimpse into how safety analysis might be conducted in the years ahead. Not as a retrospective exercise, but as a continuous, proactive process embedded within everyday infrastructure management. For an industry tasked with reducing fatalities while managing growing demand, that shift could prove decisive. The tools are evolving, the data is available, and expectations are rising. The next phase of road safety will be defined not just by engineering solutions, but by the intelligence that guides them.

INRIX AI Traffic Reporter creates a new era of automated mobility intelligence. INRIX has once again positioned itself at the forefront of mobility innovation with the launch of AI Traffic Reporter, an automated broadcast platform designed to replace traditional human-led traffic reporting across TV and radio. Built on more than two decades of proprietary mobility data and the latest advances in generative AI, the system marks a profound shift in how transportation updates are delivered, consumed, and acted upon. AI Traffic Reporter eliminates the need for on-air talent, manual production processes, and the delays associated with human interpretation. Instead, it relies on instant data-driven analysis to generate visual and audio bulletins the moment road conditions change. For broadcasters and transport agencies, the implications are considerable: round-the-clock updates, improved consistency, and greater accuracy during fast-moving events. Reimagining live traffic coverage for broadcasters. At the core of the new platform lies a fully automated workflow that generates traffic updates using synthetic voices engineered to sound indistinguishable from human presenters. These audio reports are paired with advanced 3D visualisations designed to match, and often exceed, the graphical fidelity of high-end broadcast systems. This approach removes bottlenecks common in human-led reporting, including staffing availability, scriptwriting, and production delays. With the ability to deliver instantaneous alerts when incidents occur, AI Traffic Reporter aims to reduce congestion and secondary accidents by ensuring the public receives timely and accurate information. INRIX processes more than 36 billion data points per day, enabling the system to identify incidents affecting safety, congestion, and overall network performance. The platform transforms this raw data into clear, engaging broadcasts suitable for radio, TV, mobile applications, and online dashboards. Advanced technology tailored for mobility. AI Traffic Reporter separates itself from generic AI products through its transportation-focused design. INRIX has developed and validated the system using Human-in-the-Loop processes and Reinforcement Learning from Human Feedback, ensuring that the technology operates with a high degree of accuracy, reliability, and transparency. This bespoke approach means the platform does not simply translate data into scripted content. Instead, it interprets the nuances of road behaviour, differentiating between minor traffic fluctuations and more serious disruptions. The result is a system refined specifically for real-world transportation environments. Bryan Mistele, CEO of INRIX, underscored the transformative nature of the platform: "AI is rapidly becoming pervasive across all of our products, but AI Traffic Reporter marks a fundamental shift. By pairing generative AI with two decades of mobility intelligence, we are not just enhancing traffic reporting, we are replacing it. For the first time, stations can fully automate traffic updates, delivering information faster and more accurately than any human ever could. This is the future of broadcasting, and it's here now." Real-Time insights for A safer road network. Safety and efficiency sit at the heart of INRIX's platform. By instantly detecting incidents and communicating them without delay, AI Traffic Reporter aims to reduce the risk of secondary collisions. These incidents often occur when drivers approach the scene of an earlier crash without adequate warning, particularly during peak hours or low-visibility conditions. Immediate notification allows road users, freight operators, and public transport services to adapt quickly, reducing knock-on congestion and improving the overall flow of traffic. Transport agencies can also integrate these insights into their wider operational systems, using them as triggers for dynamic signage updates, emergency responses, and routing decisions. The system's real-time capabilities extend beyond traditional incident alerts. AI Traffic Reporter continuously monitors travel times, bottlenecks, road closures, weather impacts, and work-zone disruptions. This provides a more complete operational picture, enabling a deeper understanding of network behaviour. Broadcast-Ready visuals and immersive reporting tools. One of the standout features of the platform is its ability to generate graphics comparable to those used in video games. These visuals are designed to support broadcasters with fully automated, high-quality traffic maps, incident animations, and network-wide overviews. The graphics can also be deployed in immersive formats, including VR-ready environments that offer transport agencies a more holistic perspective on real-time conditions. This allows analysts to explore traffic patterns, incident locations, and congestion build-up in ways that traditional 2D dashboards cannot replicate. Broadcasters benefit from these capabilities by offering audiences visually engaging and data-rich content without requiring in-house design teams. The system packages graphics and voiceover into ready-to-air segments, ensuring rapid deployment across platforms. Scalable for cities, regions and national networks. Designed as a fully scalable solution, AI Traffic Reporter can be implemented by national broadcasters, city-level transport agencies, or regional traffic management centres. Its modular architecture allows organisations to select specific features such as automated alerts, custom incident boundaries, or tailored reporting languages. This flexibility ensures the platform can adapt to differences in network size, available data feeds, and broadcaster requirements. Whether deployed in major metropolitan hubs or smaller regional markets, the system maintains the same level of responsiveness and accuracy. INRIX's experience supporting transport authorities in more than 70 countries provides the foundation for this global approach. The company's extensive historical and real-time datasets help ensure the platform performs consistently in diverse mobility environments. A foundation for the future of connected mobility. Automation in traffic reporting is only the beginning. With its AI-driven architecture, the platform is positioned to integrate seamlessly with future mobility systems, including connected vehicle networks, smart infrastructure, and emerging sensor technologies. As more vehicles begin sharing anonymised live data, AI Traffic Reporter will be able to draw insights from an even broader pool of information. This advancement could create opportunities for predictive reporting, allowing the system to identify congestion build-up before it becomes visible to drivers. * Integration with autonomous fleet management platforms. * Automated risk detection for emergency services. * Predictive modelling for large-scale events and weather systems. * Enhanced public transport coordination and scheduling. INRIX's ongoing research into mobility intelligence will likely shape the next wave of innovations, further establishing AI as a trusted contributor to road safety, operational efficiency, and broadcast automation. Moving towards smarter, safer transport intelligence. AI Traffic Reporter represents a significant milestone in transportation technology. By fusing extensive mobility data with generative AI and automated broadcast workflows, INRIX has created a platform capable of transforming how traffic information is delivered across the world. The system offers more than operational efficiency for broadcasters. It provides a new layer of protection for drivers, reduces the likelihood of secondary crashes, and ensures that real-time information can be communicated without delay. With the rise of smart cities, connected vehicles, and digital-first mobility services, INRIX's latest innovation lays crucial groundwork for the future of transportation intelligence.