A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction

doi:10.1016/j.inffus.2025.103327

2025-05-28

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DOI：10.1016/j.inffus.2025.103327

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• 新型GCN-GRU混合模型通过LLM合成数据捕获时空动态。 • 基于‌LLM的交通代理模型平衡了准确性与泛化性。 • 在多模态场景下的验证结果显示，在训练样本有限的情况下表现出色。

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Information Fusion

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15.5

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