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Is autonomous driving an answer to reducing traffic congestion in our cities?
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, we will discuss 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.
Michal Čáp is a Technical Lead in isee AI, an MIT spin-off company developing self-driving technology, and a research associate in the Artificial Intelligence Centre at the Czech Technical University in Prague (Study at CTU in Prague). He has studied information technology, agent technology and artificial intelligence and worked at the Massachusetts Institute of Technology, USA and the Department of Cognitive Robotics, TU Delft (TU Delft), Netherlands. Motivated by the arrival of self-driving taxi companies, he recently became interested in the analysis of transportation systems that employ large fleets of self-driving cars.
Tickets: £5 + booking fee via Eventbrite link below
Part of SCIENCE CAFÉ, a series of popular science presentations and talks by the best Czech scientists and innovators of today presented by the Czech Centre London.
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