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FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers Goods Transportation
[article]
2020
arXiv
pre-print
The growth in online goods delivery is causing a dramatic surge in urban vehicle traffic from last-mile deliveries. On the other hand, ride-sharing has been on the rise with the success of ride-sharing platforms and increased research on using autonomous vehicle technologies for routing and matching. The future of urban mobility for passengers and goods relies on leveraging new methods that minimize operational costs and environmental footprints of transportation systems. This paper considers
arXiv:2007.13699v2
fatcat:cjwo6gun4zbojfcjgggpevgsvu