Project Purpose and Description
Trams play a fundamental role in sustainable urban mobility but face significant safety challenges in complex urban environments. ARISE project introduces OTIV.TWO, an advanced driver assistance system that enhances tram safety and operational efficiency through artificial intelligence (AI) and real-time sensor fusion. This innovation helps tram operators navigate complex urban scenarios by providing intelligent alerts and decision-making support while enhancing passenger satisfaction and thus, encouraging greater rail adoption. The project combines technological integration with academic research and real-world operational expertise. The system’s capabilities—including obstacle detection, track segmentation, and collision prevention— will be tested and enhanced thanks to its integration in tram operators in three different European cities, demonstrating how AI-based solutions can transform urban mobility while supporting broader sustainable transport goals.
Motivation
Rail transport is the most sustainable way to move people and goods, emitting less CO2 and using less energy than road transport while efficiently using public space in cities. Modes of transport like trams play a key role in addressing the European Green Deal challenge that aims for a 90% reduction in greenhouse gas emissions from transport. However, their potential adoption is diminished because of the challenges they face, such as accidents, inefficiencies, and staff shortages.
