Stefan Reitmann
Stefan Reitmann
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Machine learning approach to predict aircraft boarding
M Schultz, S Reitmann
Transportation Research Part C: Emerging Technologies 98, 391-408, 2019
Applying bidirectional long short-term memories (BLSTM) to performance data in air traffic management for system identification
S Reitmann, K Nachtigall
International Conference on Artificial Neural Networks, 528-536, 2017
Prediction of aircraft boarding time using LSTM network
M Schultz, S Reitmann
2018 Winter Simulation Conference (WSC), 2330-2341, 2018
Performance benchmarking in interdependent ATM systems
S Reitmann, A Gillissen, M Schultz
Proceedings of the 7th International Conference for Research in Air …, 2016
Computation of air traffic flow management performance with long short-term memories considering weather impact
S Reitmann, M Schultz
International Conference on Artificial Neural Networks, 532-541, 2018
Consideration of Passenger Interactions for the Prediction of Aircraft Boarding Time
M Schultz, S Reitmann
Aerospace 5 (4), 101, 2018
Advanced quantification of weather impact on air traffic management
S Reitmann, S Alam, M Schultz
ATM Seminar, 2019
Classification of weather impacts on airport operations
M Schultz, S Reitmann, S Alam
2019 Winter Simulation Conference (WSC), 500-511, 2019
Real-time Prediction of Aircraft Boarding
S Reitmann, M Schultz
2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-9, 2018
Developing Generic Flight Schedules for Airport Clusters
P Bießlich, S Reitmann, V Gollnick, K Lütjens, K Nachtigall, S Marx
5th CEAS Air and Space Conference, 2015
Performance Benchmarking in Interdependent ATM Systems: Integration of Analytical and Process Oriented Performance Benchmarking Schemes in Complex ATM Systems
S Reitmann, A Gillissen, M Schultz
Prediction of passenger boarding progress using neural network approach
M Schultz, S Reitmann
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