A Vertical Future: eVTOL Insights, Challenges, and Directions from DICUAM (2022-2026)
Keywords:
urban air mobility, eVTOL, rotor aeroacoustics, propeller aerodynamics, vertiport design and operations, U-spaceSynopsis
The Delft International Conference on Urban Air Mobility (DICUAM) brought together researchers and industry practitioners between 2022 and 2026 around a single organizing question: what will it take for electric vertical take-off and landing (eVTOL) aircraft to operate safely, quietly, and acceptably over cities?
The question is no longer whether electric vertical flights are technically feasible. Prototypes are airborne, certification programs are underway in the United States, Europe, and Asia, and the fundamental physics of distributed electric propulsion are well understood. What remains open and contested is integration: how eVTOL operations are woven into existing airspace, urban infrastructure, and community life. The acceptance of urban air mobility by communities and regulators depends on silent overflights, safe operations, and fares that make the service genuinely accessible rather than a premium curiosity.
The use cases are identifiable. Urban air mobility can bypass road congestion across large metropolitan areas, link underserved districts to employment centers, shorten trips to hospitals and emergency sites, and connect islands and mountain communities where surface infrastructure is thin or absent. It can deploy rapid first responses at disaster sites. None of these benefits arrive automatically. The costs are real: noise overhead, new structures on rooftops and transport hubs, added risk, and regulatory frameworks that must be built from scratch. Whether urban air mobility becomes a useful piece of urban infrastructure or an unwanted intrusion depends as much on the choices made by aircraft designers, aerodynamicists, acousticians, urban planners, and policymakers as well as on the aircraft themselves.
DICUAM was designed to keep those disciplines in conversation. Its editions connected researchers in rotor aerodynamics and aeroacoustics with specialists in flight operations, air traffic management, control engineering, and urban planning, alongside the industry pioneers who are building these vehicles and the operational systems around them.
This book does not reproduce the conference proceedings. It organizes the contributions by theme so that the collective knowledge reads as a coherent argument rather than a sequence of papers. The chapters cover vehicle design and common reference models, propeller aerodynamics at low Reynolds numbers, aerodynamic and aeroacoustic interaction effects, novel rotor concepts, urban noise prediction, vertiport design and localization, and airspace operations including U-space integration and autonomous conflict resolution.
The book serves two readerships. Scientists and engineers will find methods, benchmarks, and results across all these domains; the chapters are written to be technically self-contained. Policymakers, planners, and infrastructure owners will find in each chapter, and especially in the closing one, a plain account of what technology can do today, what remains uncertain, and which decisions are theirs to make.
A caution on timescale is warranted. The fields covered here move quickly, and some technical specifications, particularly around battery energy density, vehicle autonomy, and early regulatory frameworks, may evolve before this volume reaches all its readers. However, a vertical future will not be delivered by technology alone. It is a decision that cities, communities, and regions will make.
This book is intended to inform that decision.
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References
Ali, M., Piccolo, A., Zamponi, R., Ragni, D., & Avallone, F. (2025). On the impact of turbulent inflow on the noise generated by a propeller operating at low Reynolds number. In Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum, EuroNoise 2025, 1737–1744. https://doi.org/10.61782/fa.2025.0647
Amiet, R. K. (1978). Noise due to rotor-turbulence interaction. In Helicopter Acoustics. (NASA Conference Publication No. 2052, pp. 109-126). Nasa Langley Research Center. https://ntrs.nasa.gov/citations/19780024880
Asmer, L., Jaksche, R., Pak, H., & Kokus, P. (2024). A city-centric approach to estimate and evaluate global Urban Air Mobility demand. CEAS Aeronautical Journal, 16(3), 697–712. https://doi.org/10.1007/s13272-024-00742-w
Atte, A., Wylie, D., & Rauleder, J. (2022, May 10-12). Experimental evaluation of multi-rotor aerodynamic interactions [Paper Presentation]. Vertical Flight Society 78th Annual Forum & Technology Display, Fort Worth, TX, United States. https://doi.org/10.4050/f-0078-2022-17467
Baars, W. J., & Ragni, D. (2024). Low-frequency intensity modulation of high-frequency rotor noise. AIAA Journal, 62(9), 3374–3390. https://doi.org/10.2514/1.j063610
Balac, M., Vetrella, A. R., Rothfeld, R., & Schmid, B. (2019). Demand estimation for aerial vehicles in urban settings. IEEE Intelligent Transportation Systems Magazine, 11(3), 105–116. https://doi.org/10.1109/mits.2019.2919500
Ballin, M. G., Hoekstra, J. M., Wing, D. J., & Lohr, G. W. (2002). NASA Langley and NLR research of distributed air/ground traffic management. In AIAA’s Aircraft Technology, Integration, and Operations (ATIO) 2002 Technical Forum (Article AIAA 2002-5826). American Institute of Aeronautics and Astronautics. https://doi.org/https://doi.org/10.2514/6.2002-5826
Bao, H., Tan, Q., Zhou, P., Chen, W., Zhang, X., & Zhong, S. (2025). On the Gaussian beam tracing method for long-distance sound wave propagation in non-uniform mean flows. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2307), Article 20240485. https://doi.org/10.1098/rspa.2024.0485
Bergmann, O., Möhren, F., Braun, C., & Janser, F. (2024). Influence of aeroelasticity on aeroacoustics of lifting propellers with swept planforms. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4980332
Bills, K., Costello, L., & Cattani, M. (2026). Aviation accident investigation analysis methodologies used by 12 government Safety Investigation Authorities. Journal of Safety Research, 97, 112–129. https://doi.org/10.1016/j.jsr.2026.02.001
Blanes, N., Houthuijs, D., Swart, W., Sainz de la Maza, M., Ramos, M., Castell, N., & Van Kempen, E. (2017). Noise in Europe 2017: Updated assessment. European Topic Centre on Air Pollution and Climate Change Mitigation, 13(6), 200–203. https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etcacm_tp_2016_13_noiseineurope2017
Bresciani, A. P. C., Vardanyan, A., Christophe, J., & Schram, C. (2025). eVTOLUTION-Experimental dataset-Configuration A1-VKI [Dataset] Zenodo. https://doi.org/10.5281/zenodo.17941588
Brown, M. J., Williams, M. D., Nelson, M. A., & Werley, K. A. (2016). QUIC transport and dispersion modeling of vehicle emissions in cities for better public health assessments. Environmental Health Insights, 9(1), Article 55. https://doi.org/10.4137/EHI.S1566
Bureau of Transport Statistics. (2026). On-time performance marketing carrier annual data. U.S. Department of Transportation. Retrieved in October 30, 2026 the data from year 2018 to 2026, from https://transtats.bts.gov/Marketing_Annual.aspx
Casalino, D., Grande, E., Romani, G., Ragni, D., & Avallone, F. (2021). Definition of a benchmark for low Reynolds number propeller aeroacoustics. Aerospace Science and Technology, 113, Article 106707. https://doi.org/10.1016/j.ast.2021.106707
Chahba, S., Sehab, R., Morel, C., Krebs, G., & Akrad, A. (2023). Fast sizing methodology and assessment of energy storage configuration on the flight time of a multirotor aerial vehicle. Aerospace, 10(5), Article 425. https://doi.org/10.3390/aerospace10050425
Città Metropolitana di Milano. (2021). Piano urbano della mobilità [Urban mobility plan]. https://www.comune.milano.it/argomenti/mobilita/piano-urbano-della-mobilita
Città Metropolitana di Milano. (2023). Piano Territorio Metropolitano (PTM) [Metropolitan territorial plan]. http://www2.cittametropolitana.mi.it/aree-tematiche/pianificazione-territoriale/ptm-piano-territorio-metropolitano/
Cohen, A. P., Shaheen, S. A., & Farrar, E. M. (2021). Urban air mobility: history, ecosystem, market potential, and challenges. IEEE Transactions on Intelligent Transportation Systems, 22(9), 6074–6087. https://doi.org/10.1109/tits.2021.3082767
Colleoni, M. (2019). Mobilità e trasformazioni urbane : la morfologia della metropoli contemporanea [Mobility and urban transformations: the morphology of the contemporary metropolis]. Franco Angeli. https://hdl.handle.net/10281/220747
Combey, K., Elsayed, O. A., Magrini, A., Ramirez, F. N., Wang, S., Qaissi, K., Chouiyakh, H., Pereira, L. T. L., & Ragni, D. (2026). Aerodynamic and aeroacoustic interactions in multirotor aircraft for urban air mobility: A review. Physics of Fluids, 38(1), Article 011301. https://doi.org/10.1063/5.0311473
Combey, K., Elsayed, O. A., Qaissi, K., Chouiyakh, H., & Mustapha, F. (2025). Numerical analysis of multirotor aerodynamic interactions in forward and transition flight. Journal of Aircraft, 63(3), 1–17. https://doi.org/10.2514/1.c038518
Comune di Milano. (2020). PGT - Territorial Government Plan - Current. https://www.comune.milano.it/en/argomenti/rigenerazione-urbana/pgt-piano-di-governo-del-territorio-2020-vigente
Coppola, P., De Fabiis, F., & Silvestri, F. (2025). Urban air mobility demand forecasting: modeling evidence from the case study of Milan (Italy). European Transport Research Review, 17(2), 1–17. https://doi.org/10.1186/s12544-024-00700-x
Dabaghian, P. H., Mitsingas, C. M., & Halder, A. (2025). A hybrid machine learning framework for rotor performance prediction. Physics of Fluids, 37(7), Article 77194. https://doi.org/10.1063/5.0271761
Diaz, P. V., & Yoon, S. (2020). Computational study of NASA’s quadrotor urban air taxi concept. In AIAA Scitech 2020 Forum, (Article AIAA 2020-0302). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2020-0302
Doo, J., Pavel, M., Didey, A., Hange, C., Diller, N., Tsairides, M., Smith, M., Bennet, E., Bromfield, M., & Mooberry, J. (2021). NASA electric vertical takeoff and landing (eVTOL) aircraft technology for public services - a white paper: NASA transformative vertical flight working group 4 (TVF4). National Aeronautics and Space Administration. https://research.birmingham.ac.uk/en/publications/nasa-electric-vertical-takeoff-and-landing-evtol-aircraft-technol/
Duda, H., Sachs, F., Seewald, J., & Lorenz, S. (2022). Dynamic rollover of gyroplanes during landing - cause and prevention. CEAS Aeronautical Journal, 13(2), 521–533. https://doi.org/10.1007/s13272-022-00575-5
European Union Aviation Safety Agency (EASA). (2021). Vertical take-off & landing - VTOL. https://www.easa.europa.eu/en/domains/rotorcraft-vtol/VTOL
European Union Aviation Safety Agency (EASA). (2022). Vertiports in the urban environment. https://www.easa.europa.eu/en/light/topics/vertiports-urban-environment
European Union Aviation Safety Agency (EASA). (2026a). Easy access rules for unmanned aircraft systems. https://www.easa.europa.eu/en/document-library/easy-access-rules/easy-access-rules-unmanned-aircraft-systems
European Union Aviation Safety Agency (EASA). (2026b). Special condition for VTOL and means of compliance. https://www.easa.europa.eu/en/document-library/product-certification-consultations/special-condition-vtol
Federal Aviation Administration (FAA). (2002). Noise standards: Aircraft type and airworthiness certification (14 C.F.R. Part 36). Code of Federal Regulations. https://www.ecfr.gov/current/title-14/chapter-I/subchapter-C/part-36
Federal Aviation Administration (FAA). (2024). Integration of powered-lift: pilot certification and operations; miscellaneous amendments related to rotorcraft and airplanes. https://www.faa.gov/newsroom/integration-powered-lift-pilot-certification-and-operations-miscellaneous-amendments
Ffowcs Williams, J. E., & Hawkings, D. L. (1969). Theory relating to the noise of rotating machinery. Journal of Sound and Vibration, 10(1), 10–21. https://doi.org/10.1016/0022-460x(69)90125-4
Gallo, E., De Decker, J., Bresciani, A., Haezebrouck, P., Garone, E., & Schram, C. (2025). Development and commissioning of an aeroacoustic test bench for the investigation of single and coaxial propeller noise. Acta Acustica, 9, Article 16. https://doi.org/10.1051/aacus/2024085
Gill, H., & Lee, S. (2024). Development of new empirical rotor broadband noise prediction models for urban air mobility applications. In AIAA SciTech 2024 Forum and Exposition (Article AIAA 2024-2473). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-2473
Glegg, S. & Devenport, W. (2017). Aeroacoustics of low mach number flows. Elsevier. https://www.sciencedirect.com/book/monograph/9780128096512/aeroacoustics-of-low-mach-number-flows
Go, S. T., Kingan, M. J., Bowen, L., & Azarpeyvand, M. (2024). Noise of a shrouded propeller due to ingestion of grid-generated turbulence. Journal of Sound and Vibration, 571, Article 118044. https://doi.org/10.1016/j.jsv.2023.118044
Gojon, R., Parisot-Dupuis, H., Mellot, B., & Jardin, T. (2023). Aeroacoustic radiation of low Reynolds number rotors in interaction with beams. The Journal of the Acoustical Society of America, 154(2), 1248–1260. https://doi.org/10.1121/10.0020672
Goyal, R., Reiche, C., Fernando, C., Serrao, J., Kimmel, S., Cohen, A., & Shaheen, S. (2018). Urban Air Mobility (UAM) market study (Report No. NASA/CR-2018-220072). National Aeronautics and Space Administration. https://ntrs.nasa.gov/citations/20190001472
Grande, E., Romani, G., Ragni, D., Avallone, F., & Casalino, D. (2021). Aeroacoustic investigation of a propeller operating at low Reynolds numbers. AIAA Journal, 60(2), 860–871. https://doi.org/10.2514/1.J060611
Groot, D. J., Ellerbroek, J., & Hoekstra, J. M. (2024). Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones. Engineering Applications of Artificial Intelligence, 133, Article 108066. https://doi.org/10.1016/j.engappai.2024.108066
Groot, D. J., Leto, G., Vlaskin, S., Moëc, A. A. G., & Ellerbroek, J. (2024). BlueSky-Gym: reinforcement learning environments for air traffic applications [Paper Presentation]. 14th SESAR Innovation Days, Rome, Italy. https://research.tudelft.nl/en/publications/bluesky-gym-reinforcement-learning-environments-for-air-traffic-a/
Haarnoja, T., Zhou, A., Hartikainen, K., Tucker, G., Ha, S., Tan, J., Kumar, V., Zhu, H., Gupta, A., Abbeel, P., & Levine, S. (2018). Soft actor-critic algorithms and applications. ArXiv. https://doi.org/10.48550/arXiv.1812.05905
Hanson, D. B. (1985). Noise of counter-rotation propellers. Journal of Aircraft, 22(7), 609–617. https://doi.org/10.2514/3.45173
Hanson, D. B. (1993). Theory for noise of propellers in angular inflow with parametric studies and experimental verification. (NASA Contractor Report No. 4554) National Aeronautics and Space Administration, Scientific and Technical Information Program. https://ntrs.nasa.gov/citations/19930015905
Heidt, A., Kapolke, M., Liers, F., Fürstenau, N., & Helmke, H. (2014). Pre-tactical time-slot assignment: runway utilization and the impact of uncertainties [Paper Presentation]. 4th SESAR Innovation Days, Madrid, Spain. http://www.sesarinnovationdays.eu
HeliOffshore. (2025). Accident occurrence categories by CICTT definition. https://www.helioffshore-industry-report.org/accident-types
Horni, A., Nagel, K., & Axhausen, K. W. (Eds.). (2016). The multi-agent transport simulation MATSim. Ubiquity Press. https://doi.org/10.5334/baw
Hwang, U. J., Park, J. S., & Lee, M. K. (2024). Performance, vibration, load, and whirl flutter stability analyses of tiltrotors with swept-back blades. International Journal of Aeronautical and Space Sciences, 26(4), 1632–1648. https://doi.org/10.1007/s42405-024-00815-4
International Civil Aviation Organization (ICAO). (1993). Procedures for air navigation services (PANS) - Aircraft operations - Volume I. Flight procedures (Doc 8168, 4th ed.). https://store.icao.int/en/procedures-for-air-navigation-services-pans-aircraft-operations-volume-i-flight-procedures-doc-8168
International Civil Aviation Organization (ICAO). (2017). Annex 16 to the Convention on International Civil Aviation: Environmental protection - Volume I: Aircraft noise (7th ed.). https://store.icao.int/en/annex-16-environmental-protection-volume-i-aircraft-noise
International Organization for Standardization (ISO). (2024). Acoustics - Attenuation of sound during propagation outdoors - Part 2: Engineering method for the prediction of sound pressure levels outdoors. (ISO Standard No. 9613-2:2024). https://www.iso.org/standard/92873.html
Ison, D. (2024). Analysis of VTOL downwash and outwash to establish vertiport safety standards: a theoretical approach. The Collegiate Aviation Review International, 42(2), 17–40. https://doi.org/10.22488/okstate.24.100236
Jamaluddin, N. S., Celik, A., Baskaran, K., Rezgui, D., & Azarpeyvand, M. (2021). Aeroacoustic performance of propellers in turbulent flow. In AIAA AVIATION 2021 Forum (Article AIAA 2021-2188). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2021-2188
Jeracki, R. J., Mikkelson, D. C., & Blaha, B. J. (1979). Wind tunnel performance of four energy efficient propellers designed for Mach 0.8 cruise. (NASA Technical Memorandum No. 79124). National Aeronautics and Space Administration. https://ntrs.nasa.gov/search.jsp?R=19790052746
Jeracki, R. J., & Mitchell, G. A. (1981). Low and high speed propellers for general aviation: Performance potential and recent wind tunnel test results. (NASA Technical Memorandum No. 81745). National Aeronautics and Space Administration. https://ntrs.nasa.gov/citations/19810058354
Jia, H., Lin, C., Iwabuchi, M., & Kikumoto, H. (2026). Ten questions concerning urban wind environments for the safe utilization of urban air mobility. Building and Environment, 290, Article 114136. https://doi.org/10.1016/J.BUILDENV.2025.114136
Johnson, W., & Silva, C. (2022). NASA concept vehicles and the engineering of advanced air mobility aircraft. The Aeronautical Journal, 126(1295), 59–91. https://doi.org/10.1017/aer.2021.92
Katz, J., & Plotkin, A. (2001). Low-speed aerodynamics (2nd ed.). Cambridge University Press.
Kelley, N. D., & Jonkman, B. J. (2007). Overview of the TurbSim stochastic inflow turbulence simulator: version 1.21. (Report No. NREL/TP-500-41136). National Renewable Energy Laboratory. https://doi.org/10.2172/903073
Kim, H. D. (2020). Progress in distributed electric propulsion vehicles and technologies. (Report No. AFRC-E-DAA-TN76298). National Aeronautics and Space Administration. https://ntrs.nasa.gov/citations/20200011461
Kim, H. D., Perry, A., & Ansell, P. (2018). A review of distributed electric propulsion concepts for air vehicle technology. In 2018 AIAA/IEEE Electric Aircraft Technologies Symposium (EATS), 1–21. IEEE. https://doi.org/10.2514/6.2018-4999
Kim, Y., & Lee, S. (2024). Deep learning based prediction of urban air mobility noise propagation in urban environment. The Journal of the Acoustical Society of America, 155(1), 171–187. https://doi.org/10.1121/10.0024242
Kirste, A., Husemann, M., & Stumpf, E. (2023). Analysis of sustainability specifications of urban air mobility fleet operations using agent-based transportation simulation. In AIAA AVIATION 2023 Forum (Article AIAA 2023-3264). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2023-3264
Kirste, A., & Stumpf, E. (2024). Modeling and analysis of dynamic pricing potential for urban air mobility operations. In AIAA AVIATION FORUM AND ASCEND 2024 (Article AIAA 2024-3938). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-3938
Kirste, A., & Stumpf, E. (2025a). Development of a generalized eVTOL vehicle cost model for urban air mobility operations. Journal of the Air Transport Research Society, 5, Article 100082. https://doi.org/10.1016/j.jatrs.2025.100082
Kirste, A., & Stumpf, E. (2025b). Multidisciplinary optimization of advanced air mobility fleet operations. In AIAA SCITECH 2025 Forum (Article AIAA 2025-2170). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2025-2170
Kirste, A., & Stumpf, E. (2026). Comparing UAM demand, eVTOL design, and profitability across metropolitan regions using simulation and optimization. Materials Research Proceedings, 69, 94–98. https://doi.org/10.21741/9781644904251-17
Kleinbekman, I. C., Mitici, M. A., & Wei, P. (2018). eVTOL arrival sequencing and scheduling for on-demand urban air mobility. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) (pp. 1–7). IEEE. https://doi.org/10.1109/dasc.2018.8569645
Krone, N. J. (1980). Forward swept wing flight demonstrator. In AIAA Aircraft Systems and Technology Meeting (Article AIAA 1980-1882). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.1980-1882
Lee, C., Bae, B., Lee, Y. L., & Pak, T. Y. (2023). Societal acceptance of urban air mobility based on the technology adoption framework. Technological Forecasting and Social Change, 196, Article 122807. https://doi.org/10.1016/J.TECHFORE.2023.122807
Lee, H., & Lee, D. J. (2020). Rotor interactional effects on aerodynamic and noise characteristics of a small multirotor unmanned aerial vehicle. Physics of Fluids, 32(4), Article 047107. https://doi.org/10.1063/5.0003992
Lewis, E., Ponnock, J., Cherqaoui, Q., Holmdahl, S., Johnson, Y., Wong, A., & Oliver Gao, H. (2021). Architecting urban air mobility airport shuttling systems with case studies: Atlanta, Los Angeles, and Dallas. Transportation Research Part A: Policy and Practice, 150, 423–444. https://doi.org/10.1016/J.TRA.2021.06.026
Li, J., Zhang, H., Yi, J., Deng, C., & Zhou, J. (2025). Capacity assessment of vertiports with a scheduling algorithm considering quality of service. The Aeronautical Journal, 129(1337), 1791–1809. https://doi.org/10.1017/aer.2024.152
Li, S., & Lee, S. (2020). A machine learning-based fast prediction of rotorcraft broadband noise. In AIAA AVIATION 2020 Forum (Article AIAA 2020-2588). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2020-2588
Lima Pereira, L. T., Wang, S., & Ragni, D. (2024). A preliminary design framework for performance and noise assessment of urban air mobility vehicles. In 30th AIAA/CEAS Aeroacoustics Conference (2024) (Article AIAA 2024-3334). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-3334
Lopes, D., & Silva, J. (2023). Urban air mobility (UAM) in the metropolitan region of São Paulo: Potential and threats. Journal of Airline and Airport Management, 13, 1–19. https://doi.org/10.3926/jairm.345
Lowson, M. V. (1965). The sound field for singularities in motion on JSTOR. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 286(1407), 559–572. https://www.jstor.org/stable/2415351
Mao, Y., Gu, Y., Qi, D., & Tang, H. (2012). An exact frequency-domain solution of the sound radiated from the rotating dipole point source. The Journal of the Acoustical Society of America, 132(3), 1294–1302. https://doi.org/10.1121/1.4742972
Mayakonda, M. P., Justin, C. Y., Anand, A., Weit, C. J., Wen, J. T., Zaidi, T. A., & Mavris, D. N. (2020). A top-down methodology for global urban air mobility demand estimation. A top-down methodology for global urban air mobility demand estimation. In AIAA AVIATION 2020 Forum (Article AIAA 2020-3255). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2020-3255
Menter, F. R., Kuntz, M., & Langtry, R. (2003). Ten years of industrial experience with the SST turbulence model. Turbulence Heat and Mass Transfer, Turbulence, Heat and Mass Transfer, 4, 625–632.
Meteomatics. (2026). OpenWeather APIs for weather, energy, and environment. https://openweathermap.org/
Moorhouse, D. J., & Woodcock, R. J. (1982). Background information and user guide for Mil-F-8785B (ASG), military specification - Flying qualities of piloted airplanes. (Report No. AFWAL-TR-81-3109). Air Force Wright Aeronautical Laboratories. https://apps.dtic.mil/sti/citations/AD0860856
Muia, M. J., Stanley, J., Anderson, T., Hall, D., Shuman, Z., Goericke, J., Batther, J. B., Habana, Z., He, C., & Saberi, H. (2024). Electric vertical takeoff and landing (eVTOL) downwash and outwash Surveys. (Report No. DOT/FAA/TC-24/18). Federal Aviation Administration. https://www.airporttech.tc.faa.gov/Products/Airport-Pavement-Papers-Publications/Airport-Pavement-Detail/electric-vertical-takeoff-and-landing-evtol-downwash-and-outwash-surveys
Nithya, D. S., Monteleone, F., Quaranta, G., Liang, M., & Muscarello, V. (2025). Development and validation of a custom stochastic microscale wind model for urban air mobility applications. Drones 2025, 9(12), Article 863. https://doi.org/10.3390/DRONES9120863
Nithya, D. S., Rylko, A., Muscarello, V., Liang, M., & Quaranta, G. (2025). Towards determining wind disturbance levels for an urban air mobility aircraft through simulation-based flight testing. In Proceedings of the 51st European Rotorcraft Forum. European Rotorcraft Forum. https://hdl.handle.net/20.500.11881/4774
Northeast UAS Airspace Integration Research Alliance (NUAIR). (2021). High-density automated vertiport concept of operations. https://lowaltitudeeconomy.aero/directory/white-papers/advanced-air-mobility-aam/high-density-automated-vertiport-concept-of-operations
OpenStreetMap. (2026). Map database [Data set]. OpenStreetMap Foundation. https://www.openstreetmap.org/#map=8/52.154/5.29
Owen, A. B. (2013). Monte Carlo theory, methods and examples. Stanford University. https://artowen.su.domains/mc/
Palmerton, D. (2005). Fatality and injury rates for two types of rotorcraft accidents. https://www.govinfo.gov/app/details/GOVPUB-TD4_200-PURL-LPS66043
Papa, L., Russo, P., Amerini, I., & Zhou, L. (2024). A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 7682–7700. https://doi.org/10.1109/tpami.2024.3392941
Park, J., Elfar, M., Fleming, C., & Shoukry, Y. (2025). Certified learning-enabled noise-aware motion planning for urban air mobility. ArXiv. https://arxiv.org/pdf/2509.20306
Pavel, M. D., White, M., Padfield, G. D., Roth, G., Hamers, M., & Taghizad, A. (2013). Validation of mathematical models for helicopter flight simulators past, present and future challenges. The Aeronautical Journal, 117(1190), 343–388. https://doi.org/10.1017/s0001924000008058
Pesaresi, M., Florczyk, A., Schiavina, M., Melchiorri, M., & Maffenini, L. (2019). GHS-SMOD R2019A - GHS settlement layers, updated and refined REGIO model 2014 in application to GHS-BUILT R2018A and GHS-POP R2019A, multitemporal (1975-1990-2000-2015) [Data set]. European Commission, Joint Research Centre. https://doi.org/10.2905/42e8be89-54ff-464e-be7b-bf9e64da5218
Piccinini, R., Tugnoli, M., & Zanotti, A. (2020). Numerical investigation of the rotor-rotor aerodynamic interaction for eVTOL aircraft configurations. Energies, 13(22). https://doi.org/10.3390/en13225995
Piccolo, A., Zamponi, R., Avallone, F., & Ragni, D. (2025). Modification of Amiet’s model for turbulence-ingestion noise prediction in rotors. The Journal of the Acoustical Society of America, 158(1), 461–475. https://doi.org/10.1121/10.0037185
Porter, M. B., & Bucker, H. P. (1987). Gaussian beam tracing for computing ocean acoustic fields. The Journal of the Acoustical Society of America, 82(4), 1349–1359. https://doi.org/10.1121/1.395269
Preis, L. (2021). Quick sizing, throughput estimating and layout planning for VTOL aerodromes - A methodology for vertiport design. In AIAA AVIATION 2021 Forum (Article AIAA 2021-2372). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2021-2372
Prince, J. (2025). Feasibility and scalability of midterm UAM operations in cooperative airspace: Class B airspace simulation evaluation. (NASA Technical Memorandum No. 2025-0001234). National Aeronautics and Space Administration, Langley Research Center. https://catalog.princeton.edu/catalog/99131831737806421
Putnam, J., & Littell, J. (2023). Simulation and analysis of NASA Lift+Cruise eVTOL crash test [Paper presentation]. Vertical Flight Society 79th Annual Forum and Technology Display, West Palm Beach, FL, United States. https://doi.org/10.4050/f-0079-2023-18019
Raposo, H., & Azarpeyvand, M. (2024). Turbulence ingestion noise generation in rotating blades. Journal of Fluid Mechanics, 980, Article A53. https://doi.org/10.1017/jfm.2024.7
Regione Lombardia. (2016). Programma regionale della mobilità e dei trasporti [Regional Mobility and Transport Programme]. https://www.regione.lombardia.it/infrastrutture-trasporti-e-mobilita/infrastrutture-stradali-e-ciclabili/red-prmt
Ren, P., Pu, Y., Zhang, J., & Yang, L. (2025). Modeling and equilibrium analysis of civil aircraft crosswind landing under gradient wind field conditions. Lecture Notes in Electrical Engineering, 1347, 118–127. https://doi.org/10.1007/978-981-96-2240-5_12
Rete Ferroviaria Italiana. Gruppo Ferrovie dello Stato. (2024). Le nostre stazioni: classificazione, numeri e performance che le identificano [Our stations: classification, figures, and performance metrics that define them]. https://www.rfi.it/it/stazioni/pagine-stazioni/le-nostre-stazioni-classificazione-numeri-e-performance-che-le-identificano.html
Riboldi, C. E. D., & Gualdoni, F. (2016). An integrated approach to the preliminary weight sizing of small electric aircraft. Aerospace Science and Technology, 58, 134–149. https://doi.org/10.1016/j.ast.2016.07.014
Rizzi, S. A., Henderson, B. S., Lopes, L. V, Bain, J. J., Cluts, J. D., McCarthy, P., Krishnamurthy, S., Merino-Martinez, R., He, H., & Snider, R. (2026). Urban air mobility noise: 2025 update on current practice, gaps, and recommendations (NASA Technical Publication No. 2026-219000). National Aeronautics and Space Administration. http://www.sti.nasa.gov
Roger, M., & Kucukcoskun, K. (2019). Near-and-far field modeling of advanced tail-rotor noise using source-mode expansions. Journal of Sound and Vibration, 453, 328–354. https://doi.org/10.1016/j.jsv.2019.02.007
Roger, M., & Moreau, S. (2020). Tonal-noise assessment of quadrotor-type UAV using source-mode expansions. Acoustics, 2(3), 674–690. https://doi.org/10.3390/acoustics2030036
Roskam, J. (1987). Airplane design part VI: preliminary calculation of aerodynamic, thrust and power characteristics. DARcorporation. https://books.google.com/books/about/Airplane_Design.html?id=L60uqKL2q10C
Rothfeld, R. L., Balac, M., Ploetner, K. O., & Antoniou, C. (2018). Agent-based simulation of urban air mobility. In AIAA Modeling and Simulation Technologies Conference (Article AIAA 2018-3891). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2018-3891
Saleh, J. H., Xu, Z., Guvir, A. I., Margousian, A., Zhang, W., & Ma, M. (2022). Data-driven analysis and new findings on the loss of tail rotor effectiveness in helicopter accidents. Scientific Reports, 12(1), Article 2854. https://doi.org/10.1038/s41598-022-06647-0
Schlichting, M. R., Notter, S., & Fichter, W. (2022). Long short-term memory for spatial encoding in multi-agent path planning. Journal of Guidance, Control, and Dynamics, 45(5), 952–961. https://doi.org/10.2514/1.g006129
Schmerwitz, S., Dautermann, T., Lenz, H., & Lueken, T. (2019). GNSS solutions for increased GA and rotorcraft airport accessibility demonstration [Paper presentation]. 9th SESAR Innovation Days, Athens, Greece. https://www.sesarju.eu/node/3268
Schuchardt, B. I., Devta, A., & Volkert, A. (2024). Integrating vertidrome management tasks into U-space. CEAS Aeronautical Journal, 16(3), 857–872. https://doi.org/10.1007/s13272-024-00747-5
Schuchardt, B. I., Vu, T. H., Mangas, A., Nava, C., Riccardi, G., Kolago, M., Abdullah, A. H., Cappello, P., & Omeri, M. (2025). How to integrate vertiport operations into the airspace? Introducing the EUREKA project. In AIAA SCITECH 2025 Forum (Article AIAA 2025-2370). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2025-2370
Schweiger, K., Knabe, F., & Korn, B. (2022). An exemplary definition of a vertidrome’s airside concept of operations. Aerospace Science and Technology, 125, Article 107144. https://doi.org/10.1016/j.ast.2021.107144
Seitz, A., Kruse, M., Wunderlich, T., Bold, J., & Heinrich, L. (2011). The DLR Project LamAiR: Design of a NLF forward swept wing for short and medium range transport application. In 29th AIAA Applied Aerodynamics Conference (Article AIAA 2011-3526). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2011-3526
SESAR Joint Undertaking. (2023). U-space CONOPS and architecture 4th Edition. https://www.sesarju.eu/node/4544
Sikirica, A., Carija, Z., Kranjcevic, L., & Lucin, I. (2019). Grid type and turbulence model influence on propeller characteristics prediction. Journal of Marine Science and Engineering, 7(10), Article 374. https://doi.org/10.3390/jmse7100374
Silva, C., Johnson, W., Antcliff, K. R., & Patterson, M. D. (2018). VTOL urban air mobility concept vehicles for technology development. In 2018 Aviation Technology, Integration, and Operations Conference (Article AIAA 2018-3847). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2018-3847
Solanki, D. T., & Sharma, D. S. (2022). Potential flow around polygonal shaped cylinders using hypotrochoidal mapping function. International Journal of Mechanical Sciences, 226, Article 107395. https://doi.org/10.1016/j.ijmecsci.2022.107395
Stokkermans, T. C. A., Usai, D., Sinnige, T., & Veldhuis, L. L. M. (2021). Aerodynamic interaction effects between propellers in typical eVTOL vehicle configurations. Journal of Aircraft, 58(4), 815–833. https://doi.org/10.2514/1.c035814
Stoll, K., Lloyd, S. (2010). Infrastructure as architecture: designing composite networks. Jovis. http://hdl.handle.net/20.500.11850/62091
Sun, X., Wang, S., Zhang, X., & Wandelt, S. (2025). LAERACE: Taking the policy fast-track towards low-altitude economy. Journal of the Air Transport Research Society, 4, Article 100058. https://doi.org/10.1016/j.jatrs.2025.100058
Tinney, C. E., & Sirohi, J. (2018). Multirotor drone noise at static thrust. AIAA Journal, 56(7), 2816–2826. https://doi.org/10.2514/1.j056827
Tugnoli, M., Montagnani, D., Syal, M., Droandi, G., & Zanotti, A. (2021). Mid-fidelity approach to aerodynamic simulations of unconventional VTOL aircraft configurations. Aerospace Science and Technology, 115, Article 106804. https://doi.org/10.1016/j.ast.2021.106804
Vahdat-Nejad, H., Ramazani, A., Mohammadi, T., & Mansoor, W. (2016). A survey on context-aware vehicular network applications. Vehicular Communications, 3, 43–57. https://doi.org/10.1016/j.vehcom.2016.01.002
Vascik, P. D., & Hansman, R. J. (2019). Development of vertiport capacity envelopes and analysis of their sensitivity to topological and operational factors. In AIAA Scitech 2019 Forum (Article AIAA 2019-0526). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2019-0526
Vella, E., Gojon, R., Parisot-Dupuis, H., Doué, N., Jardin, T., & Roger, M. (2024). Mutual interaction noise in rotor-beam configuration. In 30th AIAA/CEAS Aeroacoustics Conference 2024 (Article AIAA 2024-3318). American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-3318
Vlaskin, S., Fazlur Rahman, M., Sunil, E., Ellerbroek, J., Hoekstra, J., & Nieuwenhuisen, D. (2025). Deep reinforcement learning for drone conflict resolution under uncertainty [Paper presentation]. 15th SESAR Innovation Days. https://hdl.handle.net/10921/1837
Wang, S., Lima Pereira, L. T., & Ragni, D. (2025). Design exploration of UAM vehicles. Aerospace Science and Technology, 160, Article 110058. https://doi.org/10.1016/J.AST.2025.110058
Wang, Y., Deng, Y., Zheng, Y., Chattopadhyay, P., & Wang, L. (2025). Vision transformers for image classification: a comparative survey. Technologies, 13(1), Article 32. https://doi.org/10.3390/technologies13010032
Weitsman, D., Stephenson, J. H., & Zawodny, N. S. (2020). Effects of flow recirculation on acoustic and dynamic measurements of rotary-wing systems operating in closed anechoic chambers. The Journal of the Acoustical Society of America, 148(3), 1325–1336. https://doi.org/10.1121/10.0001901
White, M. D., Padfield, G. D., Lu, L., Advani, S., & Potter, M. (2021). Review of flight simulation fidelity requirements to help reduce ‘rotorcraft loss of control in-flight’ accident rates. CEAS Aeronautical Journal, 12(4), 701–721. https://doi.org/10.1007/s13272-021-00542-6
Wojno, J. P., Mueller, T. J., & Blake, W. K. (2002). Turbulence ingestion noise, Part 2: rotor aeroacoustic response to grid-generated turbulence. AIAA Journal, 40(1), 26–32. https://doi.org/10.2514/2.1637
Wu, Y., Kingan, M. J., & Go, S. T. (2022). Propeller-strut interaction tone noise. Physics of Fluids, 34(5), Article 057106. https://doi.org/10.1063/5.0090187
Yunus, F., Casalino, D., Avallone, F., & Ragni, D. (2023a). Efficient prediction of airborne noise propagation in a non-turbulent urban environment using Gaussian beam tracing method. The Journal of the Acoustical Society of America, 153(4), 2362–2362. https://doi.org/10.1121/10.0017825
Yunus, F., Casalino, D., Avallone, F., & Ragni, D. (2023b). Efficient prediction of urban air mobility noise in a vertiport environment. Aerospace Science and Technology, 139, Article 108410. https://doi.org/10.1016/j.ast.2023.108410
Zamponi, R., Beni, A., Zarri, A., & Christophe, J. (2026). Prediction of potential interaction noise in a generic rotor–strut arrangement. Journal of Sound and Vibration, 637, Article 119805. https://doi.org/10.1016/j.jsv.2026.119805
Zanotti, A., & Algarotti, D. (2022). Aerodynamic interaction between tandem overlapping propellers in eVTOL airplane mode flight condition. Aerospace Science and Technology, 124, Article 107518. https://doi.org/10.1016/j.ast.2022.107518
Zarri, A., Dell’Erba, E., Munters, W., & Schram, C. (2022). Aeroacoustic installation effects in multi-rotorcraft: numerical investigations of a small-size drone model. Aerospace Science and Technology, 128, Article 107762. https://doi.org/10.1016/j.ast.2022.107762
Zawodny, N., & Douglas Boyd Jr, D. (2020). Investigation of rotor-airframe interaction noise associated with small-scale rotary-wing unmanned aircraft systems [Paper presentation]. 73rd Annual Forum & Technology Display, Virginia Beach, VA, United States.
Zelinski, S. (2020). Operational analysis of vertiport surface topology. In 2020 IEEE/AIAA 39th Digital Avionics Systems Conference (DASC) (pp. 1–8). IEEE. https://doi.org/10.1109/dasc50938.2020.9256794
Zhang, J. (2021). Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey. Wiley Interdisciplinary Reviews: Computational Statistics, 13(5), Article e1539. https://doi.org/https://doi.org/10.1002/wics.1539
Zhong, S., Zhang, X., Gill, J., Fattah, R., & Sun, Y. (2018). A numerical investigation of the airfoil-gust interaction noise in transonic flows: Acoustic processes. Journal of Sound and Vibration, 425, 239–256. https://doi.org/10.1016/j.jsv.2018.04.010
Zhou, B. Y., Hanson, L., Pullin, S. F., Zang, B., Hauth, J., & Huan, X. (2025). Data-driven propeller noise prediction approach with transfer and active learning. AIAA Journal, 63(12), 5393–5404. https://doi.org/10.2514/1.j065406
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Existing data: this book brings together existing research data obtained upon request and subject to license restrictions from several different sources. Full details of how the data were obtained are available by contacting the authors. Where data are described within individual contributions, the relevant statement is given in that chapter.



