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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Gary Reyes, Vivian Estrada, Roberto Tolozano-Benites and Victor Maquilón
The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage...
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Chang Liu, Shize Zhang, Lufang Cao and Bin Lin
Automatic identification system (AIS) data record a ship?s position, speed over ground (SOG), course over ground (COG), and other behavioral attributes at specific time intervals during a ship?s voyage. At present, there are few studies in the literature...
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Lin Ma, Guoyou Shi, Weifeng Li and Dapeng Jiang
Ship trajectory data can be used in most marine-related research, and most ship trajectory data come from AIS. The large number of ships and the short reporting period of AIS have resulted in a huge amount of ship trajectory data, which has caused a cert...
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Ye Li and Hongxiang Ren
The widespread of shipborne Automatic Identification System (AIS) equipment will continue to produce a large amount of spatiotemporal trajectory data. In order to explore and understand the hidden behaviour patterns in the data, an interactive visual ana...
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Haibo Chen and Xin Chen
Trajectory compression is an efficient way of removing noise and preserving key features in location-based applications. This paper focuses on the dynamic compression of trajectory in memory, where the compression accuracy of trajectory changes dynamical...
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Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas and Athanasios Tsakalidis
The need to store massive volumes of spatio-temporal data has become a difficult task as GPS capabilities and wireless communication technologies have become prevalent to modern mobile devices. As a result, massive trajectory data are produced, incurring...
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Konstantinos Kapadais, Iraklis Varlamis, Christos Sardianos and Konstantinos Tserpes
The problem of unmanned supervision of maritime areas has attracted the interest of researchers for the last few years, mainly thanks to the advances in vessel monitoring that the Automatic Identification System (AIS) has brought. Several frameworks and ...
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Liat Rozenberg, Sagi Lotan and Dan Feldman
Whether the source is autonomous car, robotic vacuum cleaner, or a quadcopter, signals from sensors tend to have some hidden patterns that repeat themselves. For example, typical GPS traces from a smartphone contain periodic trajectories such as ?home, w...
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