No-code traffic and road safety analysis using floating vehicle data and xyzt.ai
Find out how no-code traffic and road safety analysis can help to improve safety
Floating vehicle data is the collection of data records obtained from connected vehicles. It includes millions or even billions of GPS coordinates with speeds, of vehicles driving on our roads. It is a powerful data source for analysis, as it enables answering many traffic and road safety questions, not possible with data that is already aggregated at the street segment level.
However, few tools exist that can cope with the large amounts of data records, leaving traffic analysts to resort to custom data science workflows. This ad-hoc way of working often takes so much time and effort that floating vehicle data remains unused.
Learn in this webinar how to leverage floating vehicle data using the xyzt.ai tool to solve common traffic analysis and bring down time to insights from weeks to minutes.
Floating Vehicle Data from Connected Cars
Xouba, an innovative Spanish road safety and mobility analytics company. with offices in Europe and the US, is on a mission to bring traffic accidents down to zero. It is using floating vehicle data to help government agencies to gain insight into the main road safety issues.
Floating vehicle data is a popular type of connected car data, and is used to learn more about
- Impact analysis and traffic circulation after road closures
- Congestion and speed analysis
- Origin destination and much more
The following road safety use cases will be discussed:
- Analysis of a corridor including travel times, speeds etc.
- Detailed mobility : specific movements on roundabouts and
in congestion zones
Traffic Analysis: bring down time to insights from weeks to minutes.
Xouba selected the xyzt.ai platform and by doing so 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.
xyzt.ai is selected by its customers for :
- Scalability
- Self Service analytics
- Focus on spatio-temporal
- Bring your own data
Road efficiency and safety affects 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
Become a Traffic and Mobility Data Analytics Master
You will learn how to leverage floating vehicle data using the xyzt.ai tool to solve common traffic analysis and bring down time to insights from weeks to minutes.
We discuss the above with two real-world mobility data analytics use cases:
- Analysis of a corridor including travel times, speeds etc.
- Detailed mobility : specific movements on roundabouts and in congestion zones
Don’t get left behind! Make sure you know what data is available and how to extract the insights to improve traffic safety.
xyzt.ai's CTO, Bart Adams, and Miguel Munoz, Head of Data at Xouba , tell you more.
See xyzt.ai in action
Our self-service analytics platform enables analysts to extract and share insights from any data source.
If you want to learn more about how xyzt.ai can help you and your organization, please schedule a live demo with one of our experts.
During the demo, we can discuss your requirements, answer any questions you may have, and review how our platform can benefit you.