At present, road transport contributes a significant amount to the total carbon dioxide (CO2) emissions in the EU. AIforLEssAuto brings together atmospheric and computer scientists, and traffic engineers in active dialogue with municipal stakeholders with the ultimate aim to understand how autonomous electrified traffic should be organized during the transition period in order to reduce carbon emissions. This is achieved by building a framework of computational modelling tools to evaluate the CO2 emissions originating from electrified automated vehicles, and by developing artificial intelligence based control from vehicle-level to city-center wide traffic-level in which CO2 emissions are minimized. Such multidisciplinary approach has not been done to this extent before and thus AIforLEssAuto advances the state of scientific research in all disciplines involved and the novel combination will certainly lead to new, scientifically and societally, important breakthroughs.

2022

2024