首页|期刊导航|交通研究通讯（英文）|Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraints
交通研究通讯（英文）2025，Vol.5Issue(1)：61-73,13.DOI:10.1016/j.commtr.2025.100165
Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraints
Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraints
摘要
关键词
Standard instrument departure route design/Sustainable aviation/Noise mitigation/Reinforcement learning(RL)Key words
Standard instrument departure route design/Sustainable aviation/Noise mitigation/Reinforcement learning(RL)引用本文复制引用
Chris HC.Nguyen,James M.Shihua,Rhea P.Liem..Fuel-and noise-minimal departure trajectory using deep reinforcement learning with aircraft dynamics and topography constraints[J].交通研究通讯（英文）,2025,5(1):61-73,13.基金项目
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). （Project No.ITS/016/20）
