Aircraft ground-taxiing model for congested airport using cellular automata R Mori IEEE Transactions on Intelligent Transportation Systems 14 (1), 180-188, 2012 | 51 | 2012 |
Neural network modeling of lateral pilot landing control R Mori, S Suzuki Journal of Aircraft 46 (5), 1721-1726, 2009 | 48 | 2009 |
Analysis of visual cues during landing phase by using neural network modeling R Mori, S Suzuki, Y Sakamoto, H Takahara Journal of aircraft 44 (6), 2006-2011, 2007 | 27 | 2007 |
Modeling of pilot landing approach control using stochastic switched linear regression model R Mori, S Suzuki Journal of aircraft 47 (5), 1554-1558, 2010 | 19 | 2010 |
Development of a pushback time assignment algorithm considering uncertainty R Mori Journal of Air Transportation 25 (2), 51-60, 2017 | 17 | 2017 |
Optimization of approach trajectory considering the constraints imposed on flight procedure design T Hasegawa, T Tsuchiya, R Mori Procedia Engineering 99, 259-267, 2015 | 14 | 2015 |
Fuel-saving climb procedure by reduced thrust near top of climb R Mori Journal of Aircraft 57 (5), 800-806, 2020 | 13 | 2020 |
Anomaly Detection and Cause Analysis During Landing Approach Using Recurrent Neural Network R Mori Journal of Aerospace Information Systems 18 (10), 679-685, 2021 | 11 | 2021 |
Refined Collision Risk Model for Oceanic Flight Under Longitudinal Distance-Based Separation in ADS-C Environment R Mori Journal of Navigation 67 (5), 845-868, 2014 | 10 | 2014 |
Safety assessment for reduced time-based separation minima on oceanic routes R Mori Journal of Mechanical Systems for Transportation and Logistics 4 (1), 39-49, 2011 | 10 | 2011 |
Identifying the ratio of aircraft applying SLOP by statistical modeling of lateral deviation R Mori Transactions of the Japan Society for Aeronautical and Space Sciences 54 …, 2011 | 9 | 2011 |
Accurate estimation of ground obstacle collision probability during ILS approach R Mori, M Fujita IEEE Access 8, 66662-66671, 2020 | 8 | 2020 |
Development of Fast-Time Stochastic Airport Ground and Runway Simulation Model and Its Traffic Analysis R Mori Mathematical Problems in Engineering 2015, Article ID 919736, 2014 | 8 | 2014 |
Neural network analysis of pilot landing control in real flight R Mori, S Suzuki, K Masui, H Tomita Journal of Mechanical Systems for Transportation and Logistics 1 (1), 14-21, 2008 | 8 | 2008 |
Optimization of neural network modeling for human landing control analysis R Mori, S Suzuki, H Takahara AIAA Infotech@ Aerospace 2007 conference and exhibit, 2840, 2007 | 8 | 2007 |
Evaluation of departure pushback time assignment considering uncertainty using real operational data R Mori 9th SESAR Innovation Days, 2019 | 7 | 2019 |
Modeling of runway assignment strategy by human controllers using machine learning Y Nakamura, R Mori, H Aoyama, H Jung 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 1-7, 2017 | 7 | 2017 |
AIRCRAFT TAXIING MODEL AT CONGESTED AIRPORTS R Mori 28th ICAS Congress, 2012 | 6 | 2012 |
Analysis of pilot landing control in crosswind using neural networks R Mori, S Suzuki 2009 IEEE Aerospace conference, 1-10, 2009 | 6 | 2009 |
Simulation-Free Runway Balancing Optimization Under Uncertainty Using Neural Network R Mori, D Delahaye SID 2019, 9th SESAR Innovation Days, 2019 | 5 | 2019 |