A generative adversarial imitation learning approach for realistic aircraft taxi-speed modelling

• Main Authors: Pham, Duc-Thinh, Tran, Thanh-Nam, Alam, Sameer, Duong, Vu N.
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling; Engineering::Aeronautical engineering::Flight simulation; Generative Adversarial Imitation Learning; Aircraft Ground Movement
• Online Access: https://hdl.handle.net/10356/152909
• Institution: Nanyang Technological University

Classical approaches for modeling aircraft taxi speed assume constant speed or use a turning rate function to approximate taxi timings for taxiing aircraft. However, those approaches cannot predict the Spatio-temporal component of aircraft-taxi trajectory due to a lack of consideration of the comple...