Histogram-based Feature Extraction for GPS Trajectory Clustering
| Autor: | Nhat Phuong Tran, Thao Dinh, Anh M. Le, Van-Hau Nguyen, Chi Nguyen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
trajectory clustering
lcsh:Computer engineering. Computer hardware gps Computer Networks and Communications business.industry Computer science Feature extraction lcsh:TK7885-7895 Pattern recognition lcsh:TA168 Computer Science Applications Gps trajectory data clustering lcsh:Systems engineering Control and Systems Engineering Histogram Artificial intelligence histogram business Cluster analysis Information Systems |
| Zdroj: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 7, Iss 22 (2020) |
| ISSN: | 2410-0218 |
| DOI: | 10.4108/eai.13-7-2018.162796 |
| Popis: | Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime. Such approaches are not suitable for classifying moving behaviours of vehicles, e.g., how to distinguish between atrajectory of a taxi and a trajectory of a private car. In this paper, we focus on the problem of clustering trajectories ofvehicles having the same moving behaviours. Our approach is based on histogram-based feature extraction to modelmoving behaviours of objects and utilizes traditional clustering algorithms to group trajectories. We perform experimentson real datasets and obtain better results than existing approaches. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|