Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach
CoRR(2024)
摘要
Urban air mobility (UAM), a transformative concept for the transport of
passengers and cargo, faces several integration challenges in complex urban
environments. Community acceptance of aircraft noise is among the most
noticeable of these challenges when launching or scaling up a UAM system.
Properly managing community noise is fundamental to establishing a UAM system
that is environmentally and socially sustainable. In this work, we develop a
holistic and equitable approach to manage UAM air traffic and its community
noise impact in urban environments. The proposed approach is a hybrid approach
that considers a mix of different noise mitigation strategies, including
limiting the number of operations, cruising at higher altitudes, and ambient
noise masking. We tackle the problem through the lens of network system control
and formulate a multi-objective optimization model for managing traffic flow in
a multi-layer UAM network while concurrently pursuing demand fulfillment, noise
control, and energy saving. Further, we use a social welfare function in the
optimization model as the basis for the efficiency-fairness trade-off in both
demand fulfillment and noise control. We apply the proposed approach to a
comprehensive case study in the city of Austin and perform design trade-offs
through both visual and quantitative analyses.
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