Researchers are envisioning a future in which people prefer environmentally friendly, energy-efficient, high-occupancy vehicles. To realize that goal they are exploring employing advanced technology that uses reinforcement learning, a type of artificial intelligence, to incentivize people to choose options to single-occupant motor vehicles. Their ideas for a more human-centric system are detailed in the journal “Transportation Research Part C: Emerging Technologies.” Among the authors is Hua Wei, an assistant professor in School of Computing and Augmented Intelligence, part of the Fulton Schools, whose expertise includes machine learning, artificial intelligence, data mining, urban computing and multi-agent reinforcement learning.