A framework for predicting trajectories using global and local information

Keyphrases

• Global Patterns 100%
• Local Patterns 100%
• Freq 50%
• Spatio-temporal Data 50%
• Trajectory Data 50%
• Frequency-based Approach 50%
• Hierarchical Clustering 50%
• Markov Chain 50%
• Road Network 50%
• Vehicle Trajectory 50%
• Prediction Algorithms 50%
• Compact Representation 50%
• Correlation Algorithm 50%
• Neighborhood Level 50%
• Alternative Policies 50%
• Large Corpora 50%
• Graph Structure 50%
• GPS Trajectory 50%
• Generation Algorithm 50%
• Spatio-temporal Features 50%
• Chain-based 50%
• Street-level 50%
• GPS Location Data 50%
• Taxi Data 50%
• Policy Generation 50%

Computer Science

• Global Information 100%
• Local Information 100%
• Global Positioning System 100%
• Large Data Set 50%
• Spatiotemporal Data 50%
• Trajectory Data 50%
• Location Data 50%
• Policy Alternative 50%
• Temporal Feature 50%
• Compact Representation 50%
• Markov Chain 50%
• Hierarchical Clustering 50%