Abstract
Urban Air Mobility, including electric vertical takeoff and landing vehicles (eVTOL), offer a promising solution to alleviate road traffic congestion and enhance transportation efficiency in cities. However, to ensure its sustainability and operational safety, there is a need for the integrated optimization of eVTOLs and power systems which power these vehicles. Sensors play an important role in data acquisition for the model optimization especially for an environment with high uncertainty. Meanwhile, a quantitative assessment of the eVTOL’s safety level is essential for effective and intuitive supervision. This paper addresses the challenge of achieving both green and safe eVTOLs by proposing an integrated optimization framework. The framework minimizes the costs of eVTOLs and power system operation, and maximizes passenger capacity, by considering the energy stored in the eVTOL as a safety measure. IEEE 2668, a global standard that uses IDex to evaluate application maturity, is incorporated to assess the safety level during the optimization process. A case study for three Chinese cities showed that eVTOLs can utilize inexpensive surplus energy. © 2026 by the authors.
| Original language | English |
|---|---|
| Article number | 888 |
| Journal | Sensors |
| Volume | 26 |
| Issue number | 3 |
| Online published | 29 Jan 2026 |
| DOIs | |
| Publication status | Published - Feb 2026 |
Funding
This research was funded by Tianjin Natural Science Foundation (24JCQNJC00280); FCT—Fundação para a Ciência e Tecnologia, I.P. (UIDB/50008/2020), and DOI identifier 10.54499/UIDB/50008/2020, 10.54499/UIDB/50008/2020.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Research Keywords
- eVTOL
- flight scheduling
- optimization
- power systems
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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