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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
    • SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities#

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    • 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.
    • ENGINEERING Information Technology & Electronic Engineering   Vol. 26, Issue 12, Pages: 2397-2420(2025)
    • DOI:10.1631/FITEE.2500534    

      CLC: TP181
    • Received:28 July 2025

      Revised:2025-11-26

      Published:2025-12

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  • 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.

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