From Reactive to Proactive: A Smarter Approach to Road Safety

What if we could identify road safety risks before accidents happen?

For decades, road safety has largely been shaped by historical accident data. Crash statistics, incident reports and manual inspections have helped road authorities understand where accidents occur and where improvements are needed.

But there is a fundamental challenge with this approach: by the time a location is identified as high-risk, accidents may already have happened.

Today, connected vehicle data is changing what's possible. By providing continuous insights into real-world driving behavior and road conditions, it enables road authorities to identify emerging risks and take preventive action, rather than relying solely on historical accident data.

Seeing risks that accident statistics can't

Every day, connected vehicles generate valuable insights into how roads are actually used. From vehicle speeds and harsh braking events to road friction and environmental risks, this data provides a more continuous picture of road safety across the network.

A location with frequent harsh braking events, for example, may indicate an underlying safety issue, even if no accidents have been reported. Similarly, recurring low-friction conditions or unusual speed patterns can reveal risks that traditional accident statistics might overlook.

By combining these insights, road authorities can identify potential high-risk locations, better understand the contributing factors and make more informed decisions about where to focus their efforts.

Turning insights into safer roads

Identifying risks is only part of the picture. The real value of proactive road safety lies in turning those insights into action.

With data from over two million connected vehicles, NIRA helps road authorities, traffic planners and safety analysts move towards a more proactive approach to road safety management.

By analyzing real-world driving behavior, road conditions and vehicle dynamics, NIRA provides insights that can support:

• Identifying high-risk locations: Gain a network-wide view of road safety and pinpoint road segments, intersections and corridors showing elevated risk.
• Understanding what's driving the risk: Combine insights from vehicle speeds, harsh braking, road friction and driving behavior to uncover potential safety issues and support targeted infrastructure improvements.
• Prioritizing where action is needed most: Use risk scoring and real-world driving data to make informed decisions about where to invest in road safety measures and allocate resources effectively.
• Measuring the impact of improvements: Track changes in risk levels, near-crash indicators and driving behavior over time to evaluate whether implemented measures are making a difference.
  
  

A proactive path towards Vision Zero

Achieving Vision Zero requires more than understanding why accidents happen. It also means recognizing the conditions that could lead to future accidents and addressing them before people get hurt.

Historical accident data will always play an important role in road safety analysis. But when combined with insights from connected vehicles, it becomes part of a much broader understanding of risk.

The question is no longer just "Where have accidents happened?" but "Where are road users at risk, and what can we do about it?"

That's the shift towards proactive road safety. And connected vehicle data is helping make that shift possible.

Learn more about Road Safety here: Road Safety by NIRA