Physical Sciences → Engineering → Building and Construction

Traffic Prediction and Management Techniques

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.

75.1K works worldwide601.3K citations

Deep LearningTraffic FlowShort-Term ForecastingSpatio-Temporal DataNeural NetworksUrban TrafficGraph Convolutional NetworksTime Series AnalysisIntelligent Transportation SystemsProbabilistic Forecasting