ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data

Keyphrases

• Travel Behavior 100%
• Bike 100%
• Shared Bicycle 100%
• Urban Big Data 100%
• Prediction Model 28%
• Grid Level 28%
• Spatial-temporal 14%
• Communication Technologies 14%
• Travel Demand 14%
• Cutout 14%
• Deep Learning Methods 14%
• Time Location 14%
• Spatial Relations 14%
• Temporal Relations 14%
• Putting 14%
• Energy Saving 14%
• Application Usage 14%
• Forecasting Problem 14%
• Behavior Prediction 14%
• Efficient Deep Learning 14%
• Machine Learning Approach 14%
• Smart City 14%
• Large-scale Application 14%
• Demand Behavior 14%
• Intelligent Transportation Systems 14%
• Machine Learning Prediction 14%
• Space-time Patterns 14%
• 5G/6G Communication 14%
• Time Series Forecasting Model 14%
• Spatial-temporal Network 14%
• High Frequency Analysis 14%
• Real-time Control 14%
• Experimental Section 14%
• Bike Sharing Demand 14%
• Traffic Forecasting 14%

Computer Science

• Big Data 100%
• Prediction Model 100%
• Deep Learning Method 50%
• Energy Saving 50%
• Information Technology 50%
• Smart City 50%
• Machine Learning Approach 50%
• Spatial Relation 50%
• Intelligent Transportation System 50%
• Frequency Analysis 50%
• Series Prediction 50%
• Data in Use 50%

Psychology

• Big Data 100%
• Spatial Relation 100%
• Energy Conservation 100%
• Time Series Prediction 100%