The future TGV Inoui is designed to produce, consume, and leverage real-time data. On March 31 and April 1, 70 people, including SNCF data experts and engineering students from the Institute of Internet and Multimedia (IIM) at Vinci Digital School, came together for a datathon. Their goal was to use data and artificial intelligence to envision innovations that would enhance the future TGV INOUI.
Challenges related to operational and energy performance, as well as passenger experience, were the focus of the two-day event. Participants worked on concrete challenges such as optimizing maintenance of train sets to improve equipment availability. The winning team developed a data analysis module with an AI prediction model to assess the condition of certain components of the train in real-time and predict their future status on upcoming journeys.
Another project involved monitoring the water consumption of toilet facilities to achieve 97% accuracy in water usage. The proposed solution could be integrated into existing applications to simplify maintenance processes.
The event aimed to promote innovation and SNCF’s data expertise. The objective for SNCF Voyageurs was to leverage the data revolution offered by the future TGV INOUI to provide a reliable and comfortable travel experience.
The future TGV INOUI is designed to generate, consume, and utilize real-time data, with over 25,000 variables analyzed every 100 milliseconds on its internal network before being transmitted to SNCF Voyageurs’ information systems.
This abundance of data transforms each journey into an opportunity for continuous optimization. The future TGV INOUI represents a significant advancement in the relationship between trains and data. SNCF emphasizes that the train’s lifecycle should be driven by constant improvements through the intelligent use of its data.
