Deep learning model for efficient traffic forecasting in intelligent transportation systems

Computer Science

• Intelligent Transportation System 100%
• Deep Learning Model 100%
• Graph Convolutional Network 100%
• Neural Network 28%
• Time Complexity 28%
• User Data 14%
• Long Short-Term Memory Network 14%
• Prediction Accuracy 14%
• Application Scenario 14%
• Data Processing 14%
• Prediction Performance 14%
• Communication Delay 14%
• Storage Resource 14%
• Learning Framework 14%
• Edge Computing 14%
• Time Performance 14%
• Computation Time 14%
• Attention (Machine Learning) 14%
• Compute Resource 14%
• User Privacy 14%