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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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-07-01
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| coleção: | Discover Computing |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s10791-026-10115-y |
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