WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting

Regional traffic forecasting is a critical challenge in urban mobility, with applications to various fields such as the Internet of Everything. In recent years, spatio-temporal graph neural networks have achieved state-of-the-art results in the context of numerous traffic forecasting challenges. Thi...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Theodoros Theodoropoulos, Angelos-Christos Maroudis, Uwe Zdun, Antonios Makris, Konstantinos Tserpes
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	Elsevier 2025-06-01
श्रृंखला:	International Journal of Information Management Data Insights
विषय:	Graph neural networks Traffic forecasting Urban mobility
ऑनलाइन पहुंच:	http://www.sciencedirect.com/science/article/pii/S2667096825000205
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