SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#
Special Feature on Engineering and Technology for Low-Altitude Economy Infrastructure|Updated:2026-01-12
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SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#
SPID:一个基于深度强化学习的低空起降设施选址解决方案框架
“In the field of urban air mobility, this study introduces a deep reinforcement learning-based solution framework, SPID, which significantly enhances solution efficiency and robustness for siting low-altitude takeoff and landing platforms. Expert xx established the SPID system, which provides solutions to solve vertiport siting problems under flight and capacity constraints.”
Xiaocheng LIU, Meilong LE, Yupu LIU, et al. SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#[J]. ENGINEERING Information Technology & Electronic Engineering, 2025, 26(12): 2397-2420.
DOI:
Xiaocheng LIU, Meilong LE, Yupu LIU, et al. SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#[J]. ENGINEERING Information Technology & Electronic Engineering, 2025, 26(12): 2397-2420. DOI: 10.1631/FITEE.2500534.
SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#