BuildSenSys: Reusing Building Sensing Data for Traffic Prediction with Cross-Domain Learning

Keyphrases

• Sensing Data 100%
• Cross-domain Learning 100%
• Traffic Prediction 100%
• Traffic Volume 40%
• Smart Buildings 20%
• Attention Mechanism 20%
• Cross-domain 20%
• Traffic Volume Forecasting 20%
• Traffic Correlation 20%
• Mobile Application 10%
• Prediction Accuracy 10%
• Cost Efficiency 10%
• Correlation Analysis 10%
• Rapid Development 10%
• High Reliability 10%
• Accuracy Improvement 10%
• Prediction Method 10%
• Traffic Data 10%
• Smart City 10%
• Historical Period 10%
• Dynamic Construction 10%
• Urban Traffic 10%
• Comprehensive Building 10%
• Temporal Dependence 10%
• Novel Recurrent Neural Network 10%
• Temporal Attention Mechanism 10%
• Intelligent Transportation 10%
• Traffic Analysis 10%
• Spatiotemporal Complexity 10%
• Traffic Sensing 10%
• Multi-source Datasets 10%
• Cross-domain Data 10%

Computer Science

• Attention (Machine Learning) 100%
• Traffic Prediction 100%
• Correlation Analysis 33%
• Rapid Development 33%
• Baseline Method 33%
• Recurrent Neural Network 33%
• High Reliability 33%
• Mobile Application 33%
• Massive Amount 33%
• Smart City 33%
• Data Domain 33%
• Traffic Analysis 33%
• Historical Time 33%
• Dataset Source 33%
• Cost Efficiency 33%