How Xouba uses floating vehicle data for road safety and incident analysis

Many traffic departments and other government organizations rely heavily on consultants for insight and report generation. However, creating reports on traffic and road safety can be a time consuming task, involving data gathering, cleaning, writing algorithms, and creating visualizations and final reports. The challenge was to cut down the time required to generate a report to be able to be more competitive in the market. However, few tools exist that can handle the large amounts of data generated by connected vehicles and their sensors.

Xouba chose xyzt.ai as the platform for insight generation, from floating vehicle data, road condition data, and traffic events data such as (near) crashes. As such, Xouba has moved from a time-consuming data science workflow to an efficient no-code/low-code data analysis workflow. As a result, Xouba has reduced time to insight from weeks to minutes. It uses the xyzt.ai platform not only for analysis tasks, but also for creating insightful reports to share with their stakeholders.

“Road efficiency and safety affect us all. We are in the business to help our customers take reliable data-driven decisions to make roads safer and better. Thanks to xyzt.ai, we can perform our analysis in a much more instant and interactive way, drastically reducing our work effort and more quickly extracting insights and producing reports.", José Carlos Valdecantos Álvarez, CEO at Xouba

Thanks to the xyzt.ai platform, Xouba can now not only obtain faster insights, but also employ new data sources previously not possible, and generate reports also in the form of interactive dashboards that can easily be shared with stakeholders.