| A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area Z Wang, M Liang, D Delahaye Transportation Research Part C: Emerging Technologies 95, 280-294, 2018 | 93 | 2018 |
| Short-term 4d trajectory prediction using machine learning methods Z Wang, M Liang, D Delahaye SID 2017, 7th SESAR Innovation Days, 2017 | 67 | 2017 |
| Automated data-driven prediction on aircraft Estimated Time of Arrival Z Wang, M Liang, D Delahaye Journal of Air Transport Management 88, 101840, 2020 | 40 | 2020 |
| Predicting aircraft landing time in extended-TMA using machine learning methods I Dhief, Z Wang, M Liang, S Alam, M Schultz, D Delahaye ICRAT 2020, 9th International Conference for Research in Air Transportation, 2020 | 26 | 2020 |
| Air traffic assignment for intensive urban air mobility operations Z Wang, D Delahaye, JL Farges, S Alam Journal of Aerospace Information Systems 18 (11), 860-875, 2021 | 20 | 2021 |
| Complexity Optimal Air Traffic Assignment in Multi-layer Transport Network for Urban Air Mobility Operations Z Wang, D Delahaye, JL Farges, S Alam Transportation Research Part C: Emerging Technologies 142, 103776, 2022 | 18 | 2022 |
| Data-driven conflict detection enhancement in 3d airspace with machine learning Z Wang, M Liang, D Delahaye 2020 International Conference on Artificial Intelligence and Data Analytics …, 2020 | 13 | 2020 |
| Learning real trajectory data to enhance conflict detection accuracy in closest point of approach Z Wang, M Liang, D Delahaye, W Wu ATM 2019, 13th USA/Europe Air Traffic Management Research and Development …, 2019 | 9* | 2019 |
| Route network design in low-altitude airspace for future urban air mobility operations A case study of urban airspace of Singapore Z Wang, D Delahaye, JL Farges, S Alam 10th International Conference on Research in Air Transportation, 2022 | 6 | 2022 |
| Short-term airport traffic flow prediction based on lstm recurrent neural network G Wei, W Zhengyi Journal of Aeronautics, Astronautics and Aviation 49 (4), 299-307, 2017 | 6 | 2017 |
| A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations Z Wang, D Delahaye, JL Farges, S Alam Transportation Research Part C: Emerging Technologies 154, 104279, 2023 | 5 | 2023 |
| Adaptive structuring of unmanned traffic: A UTM concept-Complexity-optimal traffic assignment for future urban airspace Z Wang, D Delahaye, JL Farges, S Alam JDD 2021, Journées des doctorants ONERA, 2021., 2021 | 2 | 2021 |
| Integrated Air and Space Traffic Management: An Agent-Based Simulation for Analysis of Space-Launch Impact on Air Traffic Z Wang, I Dhief, W Zhou, S Alam, H Blom, S Kaltenhäuser, T Rabus 13th SESAR Innovation Days, 2023 | | 2023 |
| Strategic planning for unmaned traffic management Z Wang Aeronautics-Astronautics doctoral school, University of Toulouse III, 2023 | | 2023 |
| An Improved Machine Learning Method to Speed Up the Trajectory Prediction: Taking Melbourne Airport as a Study Case Y Xi, J Ma, Z Wang, H Zhang, M Liang, A Gardi, D Delahaye APISAT-2023, Asia-Pacific International Symposium on Aerospace Technology, 2023 | | 2023 |
| Réduction de la complexité du trafic aérien de l’espace aérien urbain Z Wang, D Delahaye, JL Farges, S Alam ENAC PhD Days, 2022 | | 2022 |
| Structuration de l’espace aérien pour les flux de trafic de mobilité aérienne urbaine Z Wang, D Delahaye, JL Farges, S Alam Journée des doctorants de l’Ecole Doctorale Aéronautique Astronautique (EDAA), 2021 | | 2021 |
| Data-driven Conflict Detection Enhancement in Closest Point of Approach Problem Z Wang, M Liang, D Delahaye SID 2019, 9th SESAR Innovation Days, 2019 | | 2019 |
| Automated data-driven prediction on aircraft estimated time of arrival Z Wang, M Liang, D Delahaye SID 2018, 8th SESAR Innovation Days, 2018 | | 2018 |
