2023

Fachartikel

Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models
^{E Itoh, K Tominaga, M Schultz, VN Duong. Aerospace 204, 11, 11}

A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities
^{M Schultz, M Soolaki, M Salari, E Bakhshian. Journal of Air Transport Management 106(2023) 102258}

Konferenzbeiträge

Introduction of moving sectors for flow-centric airspace management
 ^{M Schultz, K Tominaga, E Itoh, VN Duong. SESAR Innovation Days 2023}

Designing a Framework of Integrated AircraftDeparture and Surface Traffic Operation via Queuing Network Models
^{E Itoh, M Schultz. Fifteenth USA/Europe Air Traffic Management Research and Development Seminar 2023}

Flow-Centric Air Traffic Control: Human in the Loop Simulation Experiment
^{AS Bin Jumad, K Tominaga, XY Chua, E Itoh, M Schultz, VN Duong. Digital Avionics Systems Conference (DASC) 2023}

Efficient and risk-minimised boarding and disembarking into the narrow aircraft cabin
^{M Schultz, M Soolaki, O Michler, E Itoh. ATRS World Conference 2023}

Operational Feasibility Assessment of the Free Route Airspace Concept in the ASEAN Region
^{K Tominaga, ACK Wen, J Sultana, M Schultz, E Itoh, VN Duong. ATRS World Conference 2023}

Two-phase joint optimization of GSE routing and airport stand assignment under the consideration of ground handling time sequence
^{Y Gao, TQ Tang, F Cao, H Fricke, M Schultz. ATRS World Conference 2023}

Eingeladene Vorträge, Präsentationen

The Future of Air Transportation
International Workshop on Pedestrian Crowd, Advanced Logistics, and Aerospace MobilityWorkshop
^{M Schultz. Research Center for Advanced Science and Technology (RCAST), The University of Tokyo}

Development of moving sectors to enable efficient air/ space operations
Air & Space Traffic Integration Workshop
^{M Schultz. Air Traffic Management Research Institute, Nanyang Technological University, Singapore}

2022

Fachartikel

A Deep Reinforcement Learning Approach for Airport Departure Metering Under Spatial–Temporal Airside Interactions
^{H Ali , DT Pham , S Alam , M Schultz. IEEE Transactions on Intelligent Transportation Systems, 2022, 1-18.}

Towards a greener Extended-Arrival Manager in air traffic control: A heuristic approach for dynamic speed control using machine-learned delay prediction model
^{Lim Zhi Jun, Sameer Alam, Imen Dhief, Michael Schultz (2022). Journal of Air Transport Management 103, 102250}

Multipath-Assisted Radio Sensing and State Detection for the Connected Aircraft Cabin
^{J Ninnemann, P Schwarzbach, M Schultz, O Michler. Sensors 22 (8), 2859}

Long Range Air Traffic Flow Management with Flight-Specific Flight Performance
^{J Rosenow, E Asadi, D Lubig, M Schultz, H Fricke. Future Transportation 2 (2), 310-327}

Data-driven airport management enabled by operational milestones derived from ADS-B messages
^{M Schultz, J Rosenow, X Olive. Journal of Air Transport Management 99, 102164}

Modeling Aircraft Departure at a Runway Using a Time-Varying Fluid Queue
^{E Itoh, M Mitici, M Schultz. Aerospace 9 (3), 119}

Stochastic Delay Cost Functions to Estimate Delay Propagation Under Uncertainty
^{J Evler, M Schultz, H Fricke, A Cook. IEEE Access 10, 21424-21442}

An Adaptive Framework for Optimization and Prediction of Air Traffic Management (Sub-) Systems with Machine Learning
^{S Reitmann, M Schultz. Aerospace 9 (2), 77}

Integration of turnaround and aircraft recovery to mitigate delay propagation in airline networks
^{J Evler, M Lindner, H Fricke, M Schultz. Computers & Operations Research 138, 105602}

Konferenzbeiträge

Towards Automated Apron Operations - Training of Neural Networks for Semantic Segmentation using Synthetic LiDAR Sensors
^{M Schultz, S Reitmann, B Jung, S Alam. Winter Simulation Conference (WSC)}

Synthetic Training of Neural Networks for Semantic Segmentation of LiDAR Point Clouds
^{M Schultz, S Reitmann, B Jung, S Alam. International Workshop on ATM/CNS (IWAC)}

Agent-based modeling to support collaborative decision making in predictable airport ground operations
^{M Luo, H Fricke, M Schultz, B. Desart, S.R. Zapata. SESAR Innovation Days 2022}

Traffic Forecasts and their Influence on the Environment
^{T Standfuss, I Galarraga, I Ruiz de Gauna, M Whittome, M Schultz. Aviation and Tourism-Post Pandemic Recovery: Challenges & Solutions 2023}

Pandemiegerechte Passagierprozesse in der Flugzeugkabine
^{M Schultz, M Soolaki, J Fuchte, O Michler, P Schwarzbach. Deutscher Luft- und Raumfahrtkongress (DLRK)}

Informationstechnisches Potential Integrierter Kommunikationssysteme zur Zustandserkennung im Kontext der vernetzten Flugzeugkabine
^{P Schwarzbach, J Ninnemann, O Michler, M Schultz. Deutscher Luft- und Raumfahrtkongress (DLRK)}

Developing a departure queue model for integrated arrival and departure operations of runways
^{Eri Itoh, Daiki Iwata, Michael Schultz. International Council of the Aeronautical Sciences (ICAS)}

Reduced transmission risks for passenger operations during COVID-19 pandemic
^{Michael Schultz, Majid Soolaki, Oliver Michler, Eri Itoh. International Council of the Aeronautical Sciences (ICAS)}

Estimating Aircraft Departure Queue at a Runway Applying the Time-Varying Fluid Queue Model
^{D Iwata, E Itoh, M Schultz. ATRS World Conference}

Data-driven fusion of turnaround sub-processes to predict aircraft ground time
^{M Luo, M Schultz, H Fricke, B Desart. ATRS World Conference}

Integrated Airside Landside Framework To Assess Passenger Missed Connections with Airport Departure Metering
^{H Ali, DT Pham, S Alam, M Schultz. International Conference on Research in Air Transportation (ICRAT)}

How to benchmark Air Navigation Service Providers?
^{T Standfuß, G Hirte, M Schultz. International Transportation Economics Association (ITEA) Conference}

Eingeladene Vorträge, Präsentationen

Passenger Cabin Operations
^{M Schultz. SIA-NUS Digital Aviation Corporate Laboratory, National University of  Singapore}

Dynamic airspace sectorization and mobile sectors
^{M Schultz. Guest Lecture ATMRI, Nanyang Technological University, Singapore}

Passenger management considering COVID constraints
^{M Schultz. International Workshop on The Latest Research Trends in Air Traffic Management and Surveillance Technology Supporting Airport Operations}

2021

Fachartikel

Optimal Schedule Recovery for the Aircraft Gate Assignment with Constrained Resources
^{E Asadi, M Schultz, H Fricke (2021). Computers and Industrial Engineering 162, 107682}

The impact of automation on air traffic controller’s behaviors
^{Y Wang, R Hu, S Lin, M Schultz, D Delahaye (2021). Aerospace 8(9), 260}

Implementation of a Long-Range Air Traffic Flow Management for the Asia-Pacific Region
^{M Schultz, D Lubig, E Asadi, J Rosenow, E Itoh, S Athota, V Duong (2021). IEEE Access 9, 124640-124659}

Predictive classification and understanding of weather impact on airport performance through machine learning
^{M Schultz, S Reitmann, S Alam (2021). Transportation Research Part C: Emerging Technologies 131, 103119}

Optimized aircraft disembarkation considering COVID-19 regulations
^{M Schultz, M Soolaki (2021). Transportmetrica B: Transport Dynamics, 1-21}

Probabilistic Prediction of Separation Buffer to Compensate for the Closing Effect on Final Approach
^{S Förster, M Schultz, H Fricke (2021). Aerospace 8 (2), 29}

Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic
^{M Schultz, M Soolaki (2021). Transportation Research Part C: Emerging Technologies, 102931}

Konferenzbeiträge

Modeling the European air transportation network considering inter-airport coordination
^{D Lubig, M Schultz, J Evler, H Fricke, F Herrema, RB Montes, B Desart (2021). 11th SESAR Innovation Days}

The Rise of the Smart Passenger I: Analysis of impact on Departing Passenger Flow in Airports
^{MM Mota, P Scala, M Schultz, D Lubig, M Luo, EJ Perez (2021). 11th SESAR Innovation Days}

Propagation of Airport Capacity Improvements to the Air Transport Network
^{D Lubig, M Schultz, H Fricke, F Herrema, RB Montes, B Desart (2021). IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1-10}

Agent-based simulation for aircraft stand operations to predict ground time using machine learning
^{M Luo, M Schultz, H Fricke, B Desart, F Herrema, RB Montes (2021). IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1-8}

Air taxi flight performance modeling and application
^{R Brühl, H Fricke, M Schultz (2021). USA/Europe Air Traffic Management Research and Development Seminar}

COVID-19: Passenger Boarding and Disembarkation
^{M Schultz, M Soolaki, E Bakhshian, M Salari, J Fuchte (2021). USA/Europe Air Traffic Management Research and Development Seminar}

Flight Prioritization and Turnaround Recovery
^{J Evler, M Schultz, H Fricke (2021). USA/Europe Air Traffic Management Research and Development Seminar}

COVID-19-related challenges for new normality in airport terminal operations
^{M Schultz, M Luo, D Lubig, MM Mota, P Scala (2021). Winter Simulation Conference}

2020

Fachartikel

Future aircraft turnaround operations considering post-pandemic requirements
^{M Schultz, J Evler, E Asadi, H Preis, H Fricke, CL Wu (2020). Journal of Air Transport Management 89, 101886}

Evaluation of Strategies to Reduce the Cost Impacts of Flight Delays on Total Network Costs
^{J Rosenow, P Michling, M Schultz, J Schönberger (2020). Aerospace 7 (11), 165}

Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic
^{M Schultz, M Soolaki (2020). arXiv preprint arXiv:2007.16021}

Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic
^{P Schwarzbach, J Engelbrecht, A Michler, M Schultz, O Michler (2020). Sustainability 12 (20), 8724}

Evaluation of aircraft boarding scenarios considering reduced transmissions risks
^{M Schultz, J Fuchte (2020). Sustainability 12 (13), 5329}

From free-route air traffic to an adapted dynamic main-flow system
^{I Gerdes, A Temme, M Schultz (2020). Transportation Research Part C: Emerging Technologies 115}

Konferenzbeiträge

Concept of a Long-Range Air Traffic Flow Management, Online Presentation
^{M Schultz, D Lubig, J Rosenow, E Itoh, S Athota, VN Duong (2020). 10th SESAR Innovation Days}

Devising Strategies for Aircraft Arrival Processes via Distance-based Queuing Models
^{E Itoh, M Schultz, S Athota, VN Duong (2020). 10th SESAR Innovation Days}

Speed Control Strategies for E-AMAN using Holding Detection-Delay Prediction Model
^{I Dhief, ZJ Lim, SK Goh, DT Pham, S Alam, M Schultz (2020). 10th SESAR Innovation Days}

Development of stochastic delay cost functions
^{J Evler, M Schultz, H Fricke, A Cook (2020). 10th SESAR Innovation Days}

Using Open Source Data for Landing TimePrediction with Machine Learning Methods
^{G Chen, J Rosenow, M Schultz, O Okhrin (2020). Proceedings 59 (1), 5 - 8th OpenSky Symposium}

Analysis of airport ground operations based on ADS-B data
^{M Schultz, X Olive, J Rosenow, H Fricke, S Alam (2020). International Conference on Artificial Intelligence and Data Analytics for Air Transportation}

Dynamic hot spot prediction by learning spatial-temporal utilization of taxiway intersections
^{H Ali, R Delair, D T Pham, S Alam, M Schultz (2020). Conference on Artificial Intelligence and Data Analytics in Air Transportation}

Creating the future airport passenger experience: IMHOTEP
^{MM Mota, P Scala, R Herranz, M Schultz, E Jimenez (2020). The International Multidisciplinary Modeling & Simulation Multiconference (I3M)}

Future Demand and Optimum Distribution of Droneports
^{Y Zeng, KH Low, M Schultz, and VN Duong (2020). IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}

Short-Term Trajectory Prediction Using Generative Machine Learning Methods
^{TH Le, PN Tran, DT Pham, M Schultz, S Alam (2020). International Conference on Research in Air Transportation (ICRAT)}

Droneport Placement Optimization and Capacity Prediction
^{Y Zeng, LK Huat, VN Duong, M Schultz (2020). International Conference on Research in Air Transportation (ICRAT)}

Predicting Aircraft Landing Time in Extended-TMA Using Machine Learning Methods
^{I Dhief, Z Wang, M Liang, S Alam, M Schultz, D Delahaye (2020). International Conference on Research in Air Transportation (ICRAT)}

Aircraft performance-based redesign of airport obstacle limitation surfaces
^{K Ahnert, H Fricke, M Schultz (2020). International Conference on Research in Air Transportation (ICRAT)}

Eingeladene Vorträge, Präsentationen

The Connected Aircraft Cabin – Passenger Boarding in the Times of COVID-19
^{M Schultz (invited talk, 2020). VESS – Virtual EUROSIM Simulation Seminars}

Passenger boarding considering COVID19 constraints
^{M Schultz (invited talk, 2020). 4th International Workshop on Airplane Boarding}

Airport Performance Monitoring using ADS-B Data
^{M Schultz, S Förster, X Olive, E Spinielli, R Koelle (2020). 8th OpenSky Symposium}

Data-driven trajectory management at airports ( Folien, Video)
^{M Schultz (invited talk, 2020). Applied Machine Learning Days}