Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information

Keyphrases

• Travel Demand 100%
• Semantic Information 100%
• Event Area 100%
• New York 33%
• Prediction Model 33%
• Prediction Method 33%
• Time Series Data 33%
• Publicly Available 33%
• Deep Learning Methods 33%
• Combined Information 33%
• Traffic Data 33%
• Transportation System 33%
• Mobility Trends 33%
• Testing Period 33%
• Mean Absolute Error 33%
• Andon 33%
• Unstructured Data 33%
• Machine Learning Learning 33%
• Large-scale Event 33%
• Stressful Situation 33%
• Non-recurrent 33%
• Short-term Correlation 33%
• Big Data Era 33%
• Routine Behavior 33%
• Deep Machine Learning 33%
• Taxi Data 33%
• Travel Demand Forecasting 33%
• Observation Pattern 33%

Computer Science

• Machine Learning 100%
• Prediction Model 100%
• Mean Absolute Error 100%
• Unstructured Data 100%
• Deep Learning Technique 100%
• Big Data 100%
• Stressful Situation 100%
• Time Series Data 100%