Long-term Origin-Destination Demand Prediction with Graph Deep Learning

Computer Science

• Graph Neural Network 100%
• Deep Learning Model 50%
• Traffic Information 50%
• Convolution Operation 50%
• Spatial Relationship 50%
• Temporal Feature 50%
• Temporal Dynamic 50%
• Time Attribute 50%
• External Feature 50%
• Case Study 50%
• Prediction Error 50%
• Temporal Correlation 50%
• Transportation Planning 50%
• Graph Convolution 50%
• Transportation Network 50%

Keyphrases

• Demand Forecasting 100%
• Origin-destination Demand 100%
• Graph Deep Learning 100%
• Prediction Problems 14%
• Prediction Error 14%
• Gating Mechanism 14%
• Traffic Information 14%
• Convolution Operation 14%
• Transportation Network 14%
• Time-varying Traffic 14%
• Long-term Forecasting 14%
• Error Accumulation 14%
• Temporal Dynamics 14%
• Time Attribute 14%
• Urban Transportation Planning 14%
• Deep Learning Model 14%
• Graph Convolutional Network 14%
• Multiple Time Scales 14%
• Spatio-temporal Features 14%
• Traffic Flow Dynamics 14%
• Multi-step Prediction 14%
• Spatial-temporal Correlation 14%
• Meteorological Information 14%
• Capture Time 14%
• Vanilla 14%
• External Features 14%
• Spatial Relationship 14%
• Result Prediction 14%

Engineering

• Deep Learning Method 100%
• Term Forecast 50%
• Urban Transportation 50%
• Recurrent 50%
• Prediction Problem 50%
• Temporal Correlation 50%
• Flow Dynamics 50%
• Prediction Error 50%