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The low-altitude economy is a comprehensive model centered on manned and unmanned civil aircraft, driven by various low-altitude flight activities such as passenger and cargo transport. It promotes the integrated development of related sectors. Future cities will play a key role in this economy. Proper planning of low-altitude airspace is essential for its large-scale development. However, planning faces challenges such as accurately assessing the interaction between aircraft and buildings, the impact of extreme microclimates on flight operations, and noise or interference for residents. This study aims to apply artificial intelligence to assess urban environments and quickly generate low-altitude flight routes.

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Urban Low-Altitude Aircraft Flight Path Prediction Based on Multi-task Generative Algorithms

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  • 发表日期：

    2025年

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  • Jiawei Yao

摘要

The low-altitude economy is a comprehensive model centered on manned and unmanned civil aircraft, driven by various low-altitude flight activities such as passenger and cargo transport. It promotes the integrated development of related sectors. Future cities will play a key role in this economy. Proper planning of low-altitude airspace is essential for its large-scale development. However, planning faces challenges such as accurately assessing the interaction between aircraft and buildings, the impact of extreme microclimates on flight operations, and noise or interference for residents. This study aims to apply artificial intelligence to assess urban environments and quickly generate low-altitude flight routes.