Physical Sciences › Génie / Ingénierie › Bâtiment et construction › Techniques de prédiction et de gestion du trafic

Techniques de prédiction et de gestion du trafic

This cluster of papers focuses on the application of deep learning, neural networks, and spatio-temporal data analysis for traffic flow prediction and forecasting in urban environments. The research covers topics such as short-term forecasting, graph convolutional networks, time series analysis, and the integration of intelligent transportation systems.

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