AI Science Café Series 2020: Mobility - is autonomous driving an answer to reducing traffic congestion in our cities? With Michal Čáp
Cities are overly congested with traffic and pollution. At present the most widely discussed solution is urban on-demand mobility based self-driving technology. The envisioned automated mobility-on-demand (AMoD) systems employ a centrally-controlled fleet of self-driving vehicles to provide on-demand point-to-point transportation to the users of the system. Such systems promise to revolutionise user behaviour and significantly improve the efficiency of urban transportation. As a case study, Michal Čáp discusses and quantify the potential for car-sharing and ride-sharing to reduce the number of vehicles in the city of Prague, its application to other cities around the world and the implications for policy making.