INRIX Compass Advances Vision Zero Road Safety Strategies with AI
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.
