Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraintsOA
Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraints
Chris HC.Nguyen;James M.Shihua;Rhea P.Liem
Department of Mechanical and Aerospace Engineering,The Hong Kong University of Science and Technology,Hong Kong,999077,ChinaDepartment of Mechanical and Aerospace Engineering,The Hong Kong University of Science and Technology,Hong Kong,999077,ChinaDepartment of Mechanical and Aerospace Engineering,The Hong Kong University of Science and Technology,Hong Kong,999077,China
Standard instrument departure route designSustainable aviationNoise mitigationReinforcement learning(RL)
Standard instrument departure route designSustainable aviationNoise mitigationReinforcement learning(RL)
《交通研究通讯（英文）》 2025 (1)
61-73,13
The work was partially supported by the Innovation and Technology Commission(Project No.ITS/016/20).We would like to acknowledge the support from the University Grants Committee of the Hong Kong Special Administrative Region for providing financial support to the first and second authors through the Hong Kong Ph.D.Fellowship Scheme(HKPFS).
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