HTGAT for optimizing traffic response with structured semantic reasoning over heterogeneous graphs

Abstract Urban traffic anomalies, including accidents and adverse weather, can cascade into widespread congestion, imposing significant economic and safety costs. This paper presents HTGAT, a schema-guided heterogeneous temporal graph attention network, integrated with proximal policy optimization (...

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Autors principals:	Xiaohui Chen, Wentao Yu, Bing Zhang, Liang Huang, Jianhui Liu, Shanjun Luo
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2026-07-01
Col·lecció:	Discover Computing
Matèries:	Event schema Causal propagation Heterogeneous graph attention network Response optimization Traffic recovery
Accés en línia:	https://doi.org/10.1007/s10791-026-10115-y
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