Efficient Urban Air Mobility Vertiport Operational Plans Considering On-Ground Traffic Environment
Urban Air Mobility (UAM) has high potential as an ecofriendly transportation mode that can alleviate traffic congestion on the ground and reduce travel times by utilizing three-dimensional airspace. However, efficient vertiport operational plans are needed for UAM to become an accessible transportation mode for the public. In this study, the numerical analysis program MATLAB (R2023a) and the traffic simulation software VISSIM (PTV VISSIM 2024) were used to model vertiport operations and analyze the on-ground traffic environment, including vertiport capacity and UAM aircraft delays. Additionally, on-time performance was considered by applying uncertainties to the intervals between consecutive generations and the turnaround time to simulate situations where UAM aircraft cannot adhere to their scheduled arrival and departure times. Operational scenarios were developed by varying the interval time between UAM aircraft generated in the simulation (3–10 min) in two cases: (1) without considering the on-time performance and (2) considering the on-time performance. This study aimed to maximize vertiport capacity and minimize UAM aircraft delay times. In addition, the reduction of delay times and improvement of turnaround efficiency directly contribute to sustainable urban airspace management by lowering ground energy use and environmental impact. In Case 1, the vertiport was most efficient at an interval time of 7 min. In Case 2, capacity was maximized at an interval time of 6–7 min while delay times were minimized at an interval time of 8–10 min. The simulation results provide valuable insights for developing not only efficient but also environmentally responsible vertiport operational plans, contributing to the successful and sustainable implementation and scalability of UAM systems.
Authors
- Jerome Vui Khiong Lee
- Peng Wei (ORCID: https://orcid.org/0000-0001-8492-5411)
- Kyowon Song (ORCID: https://orcid.org/0000-0002-4079-0540)
- Uwon Huh
Institutions
- Kookmin University (KR)
- George Washington University (US)
Publication Details
- Journal
- Sustainability
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3390/su17115054
- Citations
- 2
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 9.99
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea