Prediction-based Online Trajectory Compression

Abstract

Recent spatio-temporal data applications, such as car-sharing and smart cities, impose new challenges regarding the scalability and timeliness of data processing systems. Trajectory compression is a promising approach for scaling up spatio-temporal databases. However, existing techniques fail to address the online setting, in which a compressed version of a… (More)

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