English(EN) Probabilistic Multi-Agent Aircraft Landing Time Prediction

AI模型预测飞机着陆时间并进行不确定性量化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一个新的概率化框架，用于预测飞机着陆时间，该框架考虑了多智能体交互和空中交通中的固有不确定性。该模型将着陆时间作为概率分布提供，比简单的点估计提供更值得信赖的预测。使用仁川国际机场的数据进行测试，该框架在准确性和不确定性量化方面优于现有方法，同时其注意力分数也为空中交通管制模式提供了见解。 AI

影响通过提供更可靠的着陆时间预测，提高了空中交通管理的效率和安全性。

排序理由关于特定应用的创新AI框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Kyungmin Kim, Seokbin Yoon, Keumjin Lee · 2026-09-02 04:00

概率多智能体飞机着陆时间预测

arXiv:2512.08281v2 Announce Type: replace-cross Abstract: Accurate and reliable aircraft landing time prediction is essential for effective resource allocation in air traffic management. However, the inherent uncertainty of aircraft trajectories and traffic flows poses significan…

本文如何被排名

报道来源 [1]

概率多智能体飞机着陆时间预测

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