On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division

Keyphrases

• Cluster-based 100%
• Subarea Division 100%
• Sub-region Division 100%
• Traffic Network 50%
• Subarea 50%
• Multidimensional Data 33%
• Performance Metrics 16%
• System Management 16%
• Network Condition 16%
• Existing Algorithms 16%
• Performance Evaluation 16%
• Traffic Control 16%
• Network Analysis 16%
• Trajectory Dataset 16%
• Clustering Methods 16%
• Euclidean Space 16%
• Trajectory Information 16%
• Life Trajectories 16%
• Interval-based 16%
• Linear Representation 16%
• Time-varying Traffic 16%
• Traffic System 16%
• Density-based Clustering Algorithm 16%
• Traffic Road Network 16%
• Spatio-temporal Trajectory 16%
• Traffic Sub-area 16%
• Management Network 16%
• Trajectory Segmentation 16%
• Trajectory Points 16%
• User Intervention 16%

Computer Science

• Traffic Network 100%
• Multidimensional Data 100%
• Performance Metric 50%
• Traffic Control 50%
• Experimental Result 50%
• Network Condition 50%
• Performance Evaluation 50%
• Clustering Algorithm 50%
• Network Traffic Analysis 50%
• Linear Representation 50%
• Traffic Management System 50%
• Point Trajectory 50%