Generalistic Assessments of the Potential of Medical Drones in Urban Environment
Based on Microscopic Travel Time Comparison with Ground-Based Services
DOI:
https://doi.org/10.52825/scp.v5i.1056Keywords:
VEMS-Drone, Medical eVTOL, Road-Network SimulationAbstract
At the current development stage, the lower airspace above urban areas is only used to a very limited extent. Recent developments in the drone industry are making this area more accessible. The leading use case for drone applications is currently seen in the medical sector. Individual evidence shows that the use of drones to transport medical personnel for first medical response brings significant improvements in terms of cost and response time. Advantages in urban applications are seen as promising by some research projects, but this is not scientifically proven yet. This study deals with the simulation of transportation times of medical proposals by ambulance and drone in the metropolitan region of Stavanger and the comparison of transport times. The proposed methodology develops transferable results from concrete use-cases. By using a drone 80% of the expected operations can benefit from a reduction in transport time of up to 10 minutes with a variation of +/- 4 minutes through adjusted flight speeds due to weather conditions and variations in ambulance travel times due to different traffic volumes. The data set cleaned for the local special cases shows potential for a reduction of up to 20 minutes for the remaining operations, while the extracted individual cases even showing improvements of up to 60 minutes.
Downloads
References
Holmén, J., Herlitz, J., Ricksten, S., Strömsöe, A., Hagberg, E., Axelsson, C., and Rawshani, A., (2020), Shortening Ambulance Response Time Increases Survival in Out‐of‐Hospital Cardiac Arrest. Journal of the American Heart Association, 9(21). doi: https://doi.org/10.1161/jaha.120.017048
Sampalis, John S. PhD; Denis, Ronald MD; Frechette, Pierre MD; Brown, Rea MD; Fleiszer, David MD; Mulder, David MD. Direct Transport to Tertiary Trauma Centers versus Transfer from Lower Level Facilities: Impact on Mortality and Morbidity among Patients with Major Trauma. The Journal of Trauma: Injury, Infection, and Critical Care 43(2):p 288-296, August 1997.
R. Griffin and G. McGwin, “Emergency medical service providers’ experiences with traffic congestion,” The Journal of Emergency Medicine, vol. 44, no. 2, pp. 398–405, 2013. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0736467912006968
Hung S, Li Y, Chen M, et al. Emergency Medical Service in Rural Mountain Areas in Taiwan: A Nantou Mountain Areas Based Study. Hong Kong Journal of Emergency Medicine. 2014;21(6):373-381. doi: https://doi.org/10.1177/102490791402100606
A. Al-Zabidi, M. Almannaa, M. Elhenawy, and A. Gharbi, “Statistical modeling of emergency medical services’ response and rescue times to road traffic crashes in the kingdom of saudi arabia,” Case Studies on Transport Policy, vol. 10, no. 4, pp. 2563–2575, 2022. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2213624X2200215
Montassier, E., Labady, J., Andre, A., Potel, G., Berthier, F., Jenvrin, J., & Penverne, Y. (2015). The Effect of Work Shift Configurations on Emergency Medical Dispatch Center Response. Prehospital Emergency Care, 19(2), 254–259. https://doi.org/10.3109/10903127.2014.959217
EverDrone, Press Release: For the first time in medical history, an autonomous drone helps save the life of a cardiac arrest patient, EverDrone Webpage, 04.01.2022, Accessed on 10.07.2023, [Online] Available: https://everdrone.com/news/2022/01/04/for-the-first-time-in-medical-history-an-autonomous-drone-helps-save-the-life-of-a-cardiac-arrest-patient/
McCall, B., Sub-Saharan Africa leads the way in medical drones, (2019), The Lancet, 393(10166), 17–18. doi: https://doi.org/10.1016/s0140-6736(18)33253-7
European Union Aviation Safety Agency, “Vertiports, prototype technical specifications for the design of VFR vertiports for operation with manned VTOL-capable aircraft certified in the enhanced category (pts-vpt-dsn),” 2022. [Online]. Available: https://www.easa.europa.eu/en/document-library/general-publications/prototype-technical-design-specifications-vertiports
ADAC Luftrettung gGmbH, (2020), Multicopter in the rescue service, Feasibility study on the application potential of multicopters as emergency doctor shuttles, [Online] Available: https://luftrettung.adac.de/app/uploads/2021/02/LRG_Machbarkeitsstudie_engl.pdf [Accessed: 03.05.2023]
Volocopter, August 2019, VoloCity Design specifications, accessed 10.04.2023, [Online] Available: https://assets.ctfassets.net/vnrac6vfvrab/73kYdf0o0kR7Y8XqAz9rEl/40bcf5c 38552f6d1fcca71f7fe9736f3/20220607_VoloCity_Specs.pdf
Lilium, October 2023, Lilium Jet specifications, accessed 10.04.2023, [Online] Available: https://investors.lilium.com/static-files/15eb1ad5-0454-4eab-99cb-caf47239eedb
Archer, Archer Midnight on Company Website, accessed 10.04.2023, [Online] Available: https://archer.com/midnight
Archer, 13.10.2022, Archer to Unveil Production Aircraft Midnight™ at its November 16th Open House Event, accessed 10.04.2023, [Online] Available: https://archer.com/news/archer-to-unveil-production-aircraft-midnight-at-its-november-16th-open-house-event
Airbus, CityAirbus NextGen specifications, accessed 10.04.2024, [Online] Available: https://www.airbus.com/en/innovation/low-carbon-aviation/urban-air-mobility/cityairbus-nextgen
Airbus, Civil Helicopter specifications, accessed 10.04.2023, [Online] Available: https://www.airbus.com/en/products-services/helicopters/civil-helicopters
Albert Apotele Nyaaba, Matthew Ayamga (2021) Intricacies of medical drones in healthcare delivery: Implications for Africa. Technology in Society. Volume 66. ISSN 0160-791X. https://doi.org/10.1016/j.techsoc.2021.101624.
Cornelius A. Thiels, Johnathon M. Aho, Scott P. Zietlow, Donald H. Jenkins (2015). Use of Unmanned Aerial Vehicles for Medical Product Transport. Air Medical Journal. Volume 34, Issue 2. Pages 104-108. ISSN 1067-991X. https://doi.org/10.1016/j.amj.2014.10.011.
Gangwal, A., Jain, A., & Mohanta, S. (2019) Blood delivery by drones: A case study on Zipline. International Journal of Innovative Research in Science, Engineering and Technology, 8(8).
Theresa Degel, Durk-Jouke van der Zee, Jannik Krivohlavek and Jaap Hatenboer, (2023), Conceptual Modelling of Emerging Technologies - The Use of Novel Electric Aircraft for Emergency Medical Services, Proceedings of the Operational Research Society Simulation Workshop 2023 (SW23), [Online] Available:https://www.theorsociety.com/media/7330/doiorg1036819sw23015.pdf, doi: https://doi.org/10.36819/SW23.015
Johnson, A. M., Cunningham, C. J., Arnold, E., Rosamond, W. D., & Zègre-Hemsey, J. K. (2021). Impact of Using Drones in Emergency Medicine: What Does the FutureHold? Open Access Emergency Medicine, 13, 487–498. https://doi.org/10.2147/OAEM.S247020
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner, Microscopic Traffic Simulation using SUMO, IEEE Intelligent Transportation Systems Conference (ITSC), 2018, doi: https://doi.org/10.1109/ITSC.2018.8569938
Statens vegvesen, NVDB Trafikkmengde, versjon 20170702, Available: https://trafikkdata.atlas.vegvesen.no, [Accessed: 07.06.2022]
Gade, K., (2010), A Nonsingular Horizontal Position Representation, The Journal of Navigation, Volume 63, Issue 03, pp 395-417, July 2010, Available: www.navlab.net/Publications/A_Nonsingular_Horizontal_Position_Representation.pdf, doi: https://doi.org/10.1017/S0373463309990415
The maintainer of the dataset is Helsingin kaupunkiympäristön toimiala / Liikenne- ja katusuunnittelu. Traffic data from Helsinki, The dataset has been downloaded from Helsinki Region Infoshare service on 14.03.2023 under the license Creative Commons Attribution 4.0.
G. Boeing, “Osmnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks,” Computers, Environment and Urban Systems, vol. 65, pp. 126–139, 2
Würtz Samuel & Rossa Jonas & Bogenberger Klaus & Göhner Ulrich, (2023), Virtual Testbed for the Planning of Urban Battery Electric Buses, 9th International Symposium on Transportation Data & Modelling, doi: https://doi.org/10.2760/522095
Stavanger Universitets Sykehus, (2022), Data on individual travel times and distances of all EMS journeys between 2013 and 2022, anonymized by finely granulated statistical statements, categorized by area of operation, urgency, type of means of transport and other keywords, Under Data Processing Agreement, [first Accessed: 06.01.2023]
Statistics Norway, EMS driving distance and time statistics, accessed on 16.08.2022 retrieved from www.ssb.no/statbank/
Karney, C.F.F. Algorithms for geodesics. J Geod 87, 43–55 (2013). Doi: https://doi.org/10.1007/s00190-012-0578-z
Theys B, D. S. (2020). flight tests of a quadcopter unmanned aerial vehicle with various spherical body diameters. International Journal of Micro Air Vehicles. doi: https://doi.org/10.1177/1756829320923565
Global Modeling and Assimilation Office (GMAO), (2015), MERRA-2 tavgU_3d_udt_Np: 3d,diurnal,Time-Averaged,Pressure-Level,Assimilation, Wind Tendencies V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), [Accessed: 03.11.2022], doi: https://doi.org/10.5067/DO715T7T5PG8
Steins, Krisjanis & Matinrad, Niki & Granberg, Tobias, (2019), Forecasting the Demand for Emergency Medical Services, doi: https://doi.org/10.24251/HICSS.2019.225.
Schiavina, Marcello; Freire, Sergio; MacManus, Kytt, (2019), GHS population grid multitemporal (1975, 1990, 2000, 2015) R2019A, European Commission, Joint Research Centre (JRC) DOI: under release, updated on: http://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2019.pdf
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Felix Wachter, Jannik Krivohlavek, Jonas Rossa, Andreas Rupp
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Accepted 2024-04-03
Published 2024-07-17
Funding data
-
Horizon 2020
Grant numbers 101006601