Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data

Business & Economics

• Deep Learning 100%
• Big Data 72%
• Prediction 59%
• Neural Networks 43%
• Bus 38%
• Matrix 32%
• Destination 28%
• Transportation Management 26%
• Public Safety 25%
• Location-based Services 25%
• Context-aware 25%
• Spatial Correlation 24%
• Multivariate Time Series 23%
• City-regions 23%
• Fusion 21%
• Urban Areas 20%
• Holidays 19%
• System Design 18%
• Weather 18%
• Prediction Model 18%
• Performance Improvement 18%
• Network Structure 18%
• Graph 17%
• Factors 12%
• Modeling 10%
• Performance 6%

Engineering & Materials Science

• Big data 65%
• Deep learning 64%
• Time series 37%
• Long short-term memory 33%
• Bus transportation 23%
• Location based services 17%
• Deep neural networks 14%
• Convolutional neural networks 13%
• Agglomeration 12%
• Fusion reactions 11%
• Systems analysis 10%

Social Sciences

• time series 46%
• neural network 34%
• learning 24%
• performance comparison 23%
• transportation system 18%
• holidays 18%
• public management 16%
• aggregation 15%
• urban area 12%
• travel 12%
• event 8%
• performance 6%