Variation and imbalance in demand poses significant challenges to Urban Air Mobility (UAM) operations, affecting strategic decisions such as fleet sizing. To study the implications of demand variation on UAM fleet operations, we propose a stochastic passenger arrival time generation model that uses real-world data to infer demand distributions, and two integer programs that compute the zero-spill fleet size and the spill-minimizing flight schedules and charging policies, respectively. Our numerical experiment on a two-vertiport network shows that spill in relatively inelastic to fleet size and that the driving factor behind spill is the imbalance in demand.
@article{arxiv.2407.00947,
title = {Fleet Size and Spill for UAM Operation under Uncertain Demand},
author = {Shangqing Cao and Xuan Jiang and Emin Burak Onat and Bo Zou and Mark Hansen and Raja Sengupta and Anjan Chakrabarty},
journal= {arXiv preprint arXiv:2407.00947},
year = {2024}
}