Municipalities and traffic agencies are increasingly turning to connected vehicle data to improve road safety and traffic management. These datasets often contain information such as GPS traces and safety-related events like harsh braking, sudden acceleration, or sharp cornering. While the data is highly valuable, it is also extremely large and complex. Analysts frequently face difficulties in handling and interpreting this data, especially when they do not have advanced technical or coding skills. This complexity often prevents agencies from fully leveraging the information for decision-making.
Enhancing Road Safety with Connected Vehicle Data
For municipalities and traffic agencies, turning vast amounts of connected vehicle data into actionable insights is a significant challenge. This case study demonstrates how an intuitive analytics platform made it possible to leverage this complex data in the xyzt.ai platform to improve road safety and traffic management.
The challenge
The solution
The xyzt.ai platform enables municipalities and traffic agencies to transform connected vehicle data into clear, actionable insights. Since the platform is compatible with any data provider, users can easily integrate their existing data sources without needing extensive preprocessing. With advanced visual analytics, large volumes of mobility and safety data are processed and made accessible through an intuitive interface. Analysts can quickly explore traffic patterns, detect high-risk locations, and assess safety issues — all without requiring technical expertise.
We used to struggle to make sense of all the data we had. With the xyzt.ai platform, we can now instantly see dangerous locations and make data-driven decisions without a single line of code.
Results
By making connected vehicle data easy to explore and understand, municipalities and traffic agencies gain the ability to:
- Identify and monitor dangerous locations on the road network.
- Understand traffic flows and congestion hotspots.
- Evaluate the impact of safety measures and infrastructure changes.
- Make more informed, data-driven decisions for long-term planning.
This approach helps agencies enhance road safety, optimize mobility, and improve infrastructure investments - turning complex data into practical knowledge for safer and smarter cities.
If you'd like to know more about how we can help you get the most out of your traffic data, feel free to request a demo.