Traffic Prediction and Management Techniques

Traffic Prediction and Management Techniques is a research topic within Building and Construction. Science Explorer counts 38k research works in it since 1953. 9.8% of them reached the world's top 10% most cited for their field and year.

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.

• Deep Learning
• Traffic Flow
• Short-Term Forecasting
• Spatio-Temporal Data
• Neural Networks
• Urban Traffic
• Graph Convolutional Networks
• Time Series Analysis
• Intelligent Transportation Systems
• Probabilistic Forecasting