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Scheduling for Urban Air Mobility using Safe Learning. (arXiv:2209.15457v1 [cs.LG])
Oct. 3, 2022, 1:12 a.m. | Surya Murthy (University of Illinois, Urbana-Champaign), Natasha A. Neogi (NASA Langley Research Center), Suda Bharadwaj (Skygrid, Inc.)
cs.LG updates on arXiv.org arxiv.org
This work considers the scheduling problem for Urban Air Mobility (UAM)
vehicles travelling between origin-destination pairs with both hard and soft
trip deadlines. Each route is described by a discrete probability distribution
over trip completion times (or delay) and over inter-arrival times of requests
(or demand) for the route along with a fixed hard or soft deadline. Soft
deadlines carry a cost that is incurred when the deadline is missed. An online,
safe scheduler is developed that ensures that hard …
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