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SMTP: An Optimized Storage Method for Vehicle Trajectory Data Exploiting Trajectory Patterns
2016
2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
Recent advances in location-acquisition and mobile sensing technologies have enabled tracking of vehicle movements (i.e., trajectory data). Massive trajectory datasets are processed routinely (often in real-time) to provide support for many new types of IoV (Internet of Vehicles) applications (e.g., traffic congestion management, and load-coordination across electric vehicle charging stations). High-volume, high-velocity data emitted by IoV applications introduces issues with efficient spatial
doi:10.1109/hpcc-smartcity-dss.2016.0112
dblp:conf/hpcc/WangZYLWRX16
fatcat:rh2i2l3mabhwdbdpaig5qal3ka