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  1. 低空街地方动态历史资料

    《福建省农业农村厅关于发展低空经济助力现代农业发展的若干措施》（征求意见稿）发布，1月23日截止征求意见

    1月14日，福建省农业农村厅发布公告，就《福建省农业农村厅关于发展低空经济助力现代农业发展的若干措施》（征求意见稿）向社会公开征求意见，该措施旨在推动农用...（披露日：2026-01-19）

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  7. 艾邦智飞｜eVTOL企业与整机历史资料

    国产大型无人运输机完成全球首次高高原跨区域飞行，川藏低空物流通道正式打通

    此次跨区域飞行的成功，不仅验证了 “金牛座” 无人机在极端地理与气象环境下的可靠性能，更标志着我国已具备在川藏高原等 “生命禁区” 构建常态化、智能化、大载重低空物流网络的技术基础与运营能力。（披露日：2026-01-16）

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  1. arXiv先进空中交通研究历史资料

    Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces

    Conventional optimization-based metering depends on strict adherence to precomputed schedules, which limits the flexibility required for the stochastic operations of Advanced Air Mobility (AAM). In contrast, multi-agent reinforcement learning (MARL) offers a decentralized, adaptive framework that can better handle uncertainty, required for safe aircraft separation assurance. Despite this advantage, current MARL approaches often overfit to specific airspace structures, limiting their adaptability to new configurations. To improve generalization, we recast the MARL problem in a relative polar state space and train a transformer encoder model across diverse traffic patterns and intersection angles. The learned model provides speed advisories to resolve conflicts while maintaining aircraft near their desired cruising speeds. In our experiments, we evaluated encoder depths of 1, 2, and 3 layers in both structured and unstructured airspaces, and found that a single encoder configuration outperformed deeper variants, yielding near-zero near mid-air collision rates and shorter loss-of-separation infringements than the deeper configurations. Additionally, we showed that the same configuration outperforms a baseline model designed purely with attention. Together, our results suggest that the newly formulated state representation, novel design of neural network architecture, and proposed training strategy provide an adaptable and scalable decentralized solution for aircraft separation assurance in both structured and unstructured airspaces.（预印本；同行评审状态请核对原文。）

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