Biografie

Mike Zoutendijk is een PhD kandidaat bij de sectie Air Transport and Operations, Faculteit Lucht en Ruimtevaart aan de Technische Universiteit Delft. Hij neemt deel aan het project Airport Technology Lab (ATL). Zijn onderzoeksgebied omvat data-driven en op machine learning gebaseerde technologie, en de optimalisering van operaties en planningen op luchthavens. Mike heeft een MSc in Applied Mathematics, met de specialisatie Computational Science and Engineering, behaald aan de TU Delft. 

Geselecteerde artikelen

Title: Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem.  Zoutendijk, M.; Mitici, M., Aerospace 2021, 8, 152.   
DOI:  https://doi.org/10.3390/aerospace8060152  
Description: In this study, two probabilistic forecasting algorithms, Mixture Density Networks and Random Forest regression, are applied to predict flight delays at a European airport. To illustrate the utility of the estimated delay distributions, we integrate these probabilistic predictions into a probabilistic flight-to-gate assignment problem. The objective of this problem is to increase the robustness of flight-to-gate assignments. In general, the results illustrate the utility of considering probabilistic forecasting for robust airport operations’ optimization. 

Title: An investigation of operational management solutions and challenges for electric taxiing of aircraft.  Zoutendijk, M.; Mitici, M.; Hoekstra, J.M., Research in Transportation Business & Management 2023, 49, 101019.   
DOI:  https://doi.org/10.1016/j.rtbm.2023.101019  
Description: The aim of this work is to summarize the main research directions needed to support large-scale electric towing implementation in the next few decades. To this end, the operational management challenges associated with the implementation of electric taxiing at airports are identified and discussed. First, electric taxiing systems currently under development are briefly characterised. Then, current towing procedures and specifications of towing vehicles are outlined and compared. The management needs for electric towing implementation are thoroughly discussed from the perspectives of vehicle routing models, assignment models and battery charging optimisation models. For each, challenges are identified and some solutions proposed. 

Projecten

Airport Technology Lab (ATL) Het Airport Technology Lab (ATL) is een ontwikkel-, test- en demonstratieomgeving voor innovatieve producten en diensten voor luchthavens. Het doel is om data en kennis over luchthavens aan te bieden aan bedrijven en instituties, welke dan innovatieve producten en diensten ten behoeve van de luchtvaartindustrie zullen opzetten en testen. 

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