Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction

Keyphrases

• Travel Time 100%
• Attention-based 100%
• Sequence Framework 100%
• Travel Time Prediction 100%
• Sequence-to-sequence 100%
• Periodic Segment 100%
• Deep Learning Methods 50%
• Long-term Traffic Prediction 50%
• Big Data 25%
• Prediction Accuracy 25%
• Intelligent Transportation Systems 25%
• Main Components 25%
• Traffic Data 25%
• Route Planning 25%
• Traffic Management 25%
• Prediction Problems 25%
• Travel Time Analysis 25%
• Error Propagation 25%
• Historical Information 25%
• Sequential Prediction 25%
• Learning-based Framework 25%
• Term Dependency 25%
• SMAPE 25%
• Future Travel 25%
• Traffic Schedule 25%

Computer Science

• Research Community 100%
• Prediction Time 100%
• Traffic Prediction 100%
• Deep Learning Method 100%
• Seq2Seq 100%
• Experimental Result 50%
• Prediction Accuracy 50%
• Big Data 50%
• Term Prediction 50%
• Traffic Management 50%
• Historical Information 50%
• Main Component 50%
• Term Dependency 50%
• Intelligent Transportation System 50%

Engineering

• Deep Learning Method 100%
• Metrics 50%
• Experimental Result 50%
• Intelligent Transportation System 50%
• Time Analysis 50%
• Road 50%
• Prediction Problem 50%
• Traffic Management 50%
• Traffic Data 50%
• Main Component 50%
• Generation Component 50%
• Big Data 50%