Dr. Manuel Waltert
Dr. Manuel Waltert
ZHAW
School of Engineering
Forschungsschwerpunkt Aeronautische Kommunikation
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
Dozent
Arbeits- und Forschungsschwerpunkte
Strategische Flughafenplanung, ADS-B Trajektorien
Lehrtätigkeit
- Infrastructure Aerodromes (INFRA-AD), BSc in Aviation
- Infrastructure Integration (INFRA-INT), BSc in Aviation
- ATM Summer School (ATMSS), BSc in Aviation
Aus- und Weiterbildung
Ausbildung
PhD / Transportwissenschaften
Cranfield University
02 / 2016 - 02 / 2022
Weiterbildung
Certificate of Advanced Studies ZHAW in Higher & Professional Education
Züricher Hochschule für Angewandte Wissenschaften
08 / 2023
Netzwerk
ORCID digital identifier
Projekte
- Making I-CNS A Reality: New aviation technology for integrated communication, navigation, and surveillance / Stellv. Projektleiter:in / laufend
- High Integrity Satellite Navigation for UAV using the Galileo HAS / Stellv. Projektleiter:in / laufend
- Emission Reduction using Satellite Navigation for Approach Guidance / Stellv. Projektleiter:in / abgeschlossen
- Auswirkungen von Störsignalen im Luftverkehr / Teammitglied / abgeschlossen
- AGEAIR: Vermessung der Effekte des Mantelstromtriebwerkverschleisses auf die Schadstoffzusammensetzung / Teammitglied / abgeschlossen
- Advanced Aviation Meteorology / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
- Felux, M., Fol, P., Figuet, B., Waltert, M., & Olive, X. (2024). Impacts of global navigation satellite system jamming on aviation. Navigation : Journal of the Institute of Navigation, 71(3), navi. https://doi.org/10.33012/navi.657
- Krauth, T., Lafage, A., Morio, J., Olive, X., & Waltert, M. (2023). Deep generative modelling of aircraft trajectories in terminal maneuvering areas. Machine Learning with Applications, 11(100446). https://doi.org/10.1016/j.mlwa.2022.100446
- Waltert, M., Jimenez Perez, E., & Pagliari, R. (2023). Flexible facility requirements for strategic planning of airport passenger terminal infrastructure. Transportmetrica A: Transport Science. https://doi.org/10.1080/23249935.2023.2287502
- Figuet, B., Monstein, R., Waltert, M., & Morio, J. (2023). Data-driven mid-air collision risk modelling using extreme-value theory. Aerospace Science and Technology, 142, Part A(108646). https://doi.org/10.1016/j.ast.2023.108646
- Waltert, M., Wicki, J., Jimenez Perez, E., & Pagliari, R. (2021). Ratio-based design hour determination for airport passenger terminal facilities. Journal of Air Transport Management, 96(102125). https://doi.org/10.1016/j.jairtraman.2021.102125
Schriftliche Konferenzbeiträge, peer-reviewed
- Fustagueras, A., & Waltert, M. (2026). Aerodrome movement monitoring using ADS-B data : a case study at Lommis Airfield [Conference paper]. Journal of Open Aviation Science, 4(2). https://doi.org/10.59490/joas.2026.8455
- Olive, X., Waltert, M., & Schultz, M. (2025, June 24). Assessing airport surface traffic performance from open sources of aviation data. First US-Europe Air Transportation Research & Development Symposium (ATRDS), Prague, Czech Republic, 24-27 June 2025. https://doi.org/10.21256/zhaw-34907
- Waltert, M., Figuet, B., & Felux, M. (2025). Evaluating potential fuel-savings of external alternative ground propulsion systems [Conference paper]. Journal of Open Aviation Science, 2(2). https://doi.org/10.59490/joas.2024.7888
- Felux, M., Waltert, M., Jochems, S., Fischer, V., Dautermann, T., & Meyer, O. (2024). Effects of GBAS/SBAS precision approach guidance on fuel consumption and CO2 emissions [Conference paper]. Proceedings of the 37th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2024), 1612–1618. https://doi.org/10.33012/2024.19836
- Olive, X., Waltert, M., Mori, R., & Mouyon, P. (2024, July 1). Filtering aircraft surface trajectories using information on the taxiway structure of airports. 11th International Conference on Research in Air Transportation (ICRAT), Singapore, 1-4 July 2024. https://doi.org/10.21256/zhaw-34908
- Felux, M., Fischer, V., Jochems, S., Osechas, O., Waltert, M., Sarperi, L., & Strohmeier, M. (2024). A cost-efficient RFI localization approach to detect GNSS jamming and spoofing [Conference paper]. Proceedings of the 2024 International Technical Meeting of the Institute of Navigation, 374–380. https://doi.org/10.33012/2024.19482
- Waltert, M., & Figuet, B. (2023). Using ADS-B trajectories to measure how rapid exit taxiways affect airport capacity [Conference paper]. Journal of Open Aviation Science, 1(2). https://doi.org/10.59490/joas.2023.7207
- Figuet, B., Calvo Fernández, E., Koelle, R., & Waltert, M. (2023). Analysing the impact of go-around occurrences at Large European airports [Conference paper]. Journal of Open Aviation Science, 1(2). https://doi.org/10.59490/joas.2023.7219
- Felux, M., Figuet, B., Waltert, M., Fol, P., Strohmeier, M., & Olive, X. (2023). Analysis of GNSS disruptions in European airspace [Conference paper]. Proceedings of the 2023 International Technical Meeting of the Institute of Navigation, 315–326. https://doi.org/10.33012/2023.18626
- Figuet, B., Waltert, M., Felux, M., & Olive, X. (2022). GNSS jamming and its effect on air traffic in Eastern Europe [Conference paper]. Engineering Proceedings, 28(1), 12. https://doi.org/10.3390/engproc2022028012
- Monstein, R., Figuet, B., Krauth, T., Waltert, M., & Dettling, M. (2022). Large landing trajectory dataset for go-around analysis [Conference paper]. Engineering Proceedings, 28(1), 2. https://doi.org/10.3390/engproc2022028002
- Figuet, B., Waltert, M., Monstein, R., & Felux, M. (2022). Impact of GNSS outage on mid-air collision [Conference paper]. Proceedings of the IWAC2022, 41–48.
- Figuet, B., Monstein, R., Waltert, M., & Barry, S. (2020). Predicting airplane go-arounds using machine learning and open-source data [Conference paper]. Proceedings, 59(6). https://doi.org/10.3390/proceedings2020059006
Forschungsdaten
Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel, 2022. Large landing trajectory data set for go-around analysis. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.7148117