Introduction
U.S. roadway crashes have reached historic levels while Emergency Communication Centers face staffing shortages, manual processes, and rising public expectations for better safety and response.
As ECCs try to navigate the confluence of all these challenges, enterprises have a critical asset at their disposal to support: data. The real-time availability of location, severity, occupant information and other crash data from vehicles, sensors and mobile applications can help ECCs better allocate resources, improve response times and ultimately save more lives.
In this Data Lab, we examine the critical information flow between crash detection systems and 911 centers, highlighting the essential data elements that ECCs require to respond to vehicle crashes effectively. We also identified several strategies that ECCs and GSOCs can pursue to take a more proactive approach to crash prevention, notification, and response to showcase the power of more open data sharing between enterprises and public safety organizations.
Key Findings
Crash incidents show strong, temporal regularity with rhythmic peaks and valleys. Go to section
Crash rates vary significantly by time and day of the week, with peaks occurring over the weekend and during daily rush hours. Go to section
While dense areas have more crashes, rural road accidents are often more severe with slower responses. Go to section
Seasonal weather and regional variations complicate emergency response on long roadways. Go to section
Key Findings from the Report
Based on our analysis, we identified several strategies that could help enterprises and ECCs in their crash mitigation and response efforts, including:
Time-based resource allocation: Emergency services should optimize readiness and response during the most crash-prone hours. Knowing when roadways are most and least hazardous provides agencies with clear direction for timing patrol shifts, public safety campaigns and infrastructure interventions.
Time-sensitive crash prediction and prevention strategies
The similarity in patterns across diverse road types suggests time-based trends are widespread and systematic. This kind of predictability can help ECCs better prepare in advance for any challenges they may face in responding to emergencies.
Region-level planning
A single road like USRT14 behaves differently across regions, highlighting the importance of localized strategies. For example, winter crash response might be critical in the Midwest but less relevant in the Southwest, where resources could instead focus on holiday or tourism surges.
Adaptive safety strategies
Seasonal changes highlight the need for constant, data-driven evaluation to continually update mitigation and response plans for high-risk routes.
Examining Emergency Crash Data By Season
The graphs below show the average call volumes across the Midwest, South, West, Northeast through 2024. Each plot is normalized per region to highlight relative monthly variation, and white verticle lines represent season transitions (spring, summer, fall, winter). White dotted lines represent season changes.
Conclusion
The operational gap between enterprise crash detection systems and emergency response represents a significant opportunity to save lives on roadways. By designing solutions that meet the specific needs of 911 centers and emergency responders, enterprise systems can move beyond simply detecting crashes to enabling faster, more effective emergency response.
When lives depend on minutes—or even seconds—integrated crash data transforms emergency response capabilities. Learn more about how RapidSOS can help here.