Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach

2024-03-27 · Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck, Shankar Sastry

The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry in the near future. Market-based mechanisms are touted to be an integral part of AAM operations, which comprise heterogeneous operators with private valuations. In this work, we study the problem of designing a mechanism to coordinate the movement of electric vertical take-off and landing (eVTOL) aircraft, operated by multiple operators each having heterogeneous valuations associated with their fleet, between vertiports, while enforcing the arrival, departure, and parking constraints at vertiports. Particularly, we propose an incentive-compatible and individually rational vertiport reservation mechanism that maximizes a social welfare metric, which encapsulates the objective of maximizing the overall valuations of all operators while minimizing the congestion at vertiports. Additionally, we improve the computational tractability of designing the reservation mechanism by proposing a mixed binary linear programming approach that leverages the network flow structure.

📄 PDF Abstract BibTeX arXiv:2403.18166

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Safe Schedule Verification for Urban Air Mobility Networks with Node Closures

2022-06-27 · Qinshuang Wei, Gustav Nilsson, Samuel Coogan

In Urban Air Mobility (UAM) networks, takeoff and landing sites, called vertiports, are likely to experience intermittent closures due to, e.g., adverse weather. To ensure safety, all in-flight Urban Air Vehicles (UAVs) …

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Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system bas…

Deep Reinforcement Learning reinforcement-learning Reinforcement Learning

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Near future air taxi operations with electric vertical take-off and landing (eVTOL) aircraft will be constrained by the need for frequent recharging of eVTOLs, limited takeoff and landing pads in vertiports, and subject …

Deep Reinforcement Learning Q-Learning