CLUSTMOSA: Clustering for GPS trajectory data based on multi-objective simulated annealing to develop mobility application.
Sumanto DuttaAnimesh DasBidyut Kr. PatraPublished in: Appl. Soft Comput. (2022)
Keyphrases
- multi objective
- trajectory data
- simulated annealing
- genetic algorithm
- gps data
- clustering method
- evolutionary algorithm
- mobility data
- optimization algorithm
- three dimensional
- clustering algorithm
- video sequences
- neural network
- road segments
- map matching
- multiple objectives
- traffic management
- space time
- multi objective optimization
- temporal information
- visual information
- metaheuristic
- computer vision
- machine learning