Pressemitteilung: De Lijn tests tram of the future with smart driver assistance system in Antwerp

De Lijn, OTIV and EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the EU, showcase how artificial intelligence supports tram drivers and increases safety
De Lijn and its partner, organized a press event in Antwerp around practical tests with a smart AI-based driver assistance system on tram line 1. Attendees were given an exclusive behind-the-scenes look at a Belgian first: a tram equipped with artificial intelligence to support drivers, developed by Ghent-based technology company OTIV.
During the demonstration ride, guests could follow live how the system mapped the tram’s surroundings and generated audiovisual warnings in case of potential hazards. Through a laptop interface, they saw how the software detected obstacles and assessed risks. At the same time, the tram driver wore monitoring instruments that recorded brain activity, stress levels and heart rate. These data provide researchers from University College London (UCL) with insights into how the system affects driver alertness and workload.
Flanders as a frontrunner in innovation
Flemish Minister of Mobility, Public Works, Ports and Sport, Annick De Ridder, emphasized the importance of innovation in public transport: “With tests like these, we show that Flanders is investing in smart and safe mobility. Artificial intelligence can make our tram operations safer, smoother and more reliable. This benefits not only passengers and drivers, but also strengthens Flanders’ position as a frontrunner in innovative mobility solutions.” (....)

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Quelle: European Institute of Innovation and Technology (EIT) Urban Mobility

Stichwörter: European Institute of Innovation and Technology (EIT) Urban Mobility, De Lijn, tram, smart driver assistance system, Antwerp, artificial intelligence, safety, tram line 1, Ghent-based technology company OTIV, demonstration ride, laptop interface, University College London (UCL), alertness, workload, ARISE (Advanced Rail Innovation for Safety and Efficiency)

Kategorie(n): Forschung & Transfer