GPSInsights: Towards an efficient framework for storing and mining massive vehicle location data

SoICT(2015)

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摘要
Intelligent Transport System (ITS) has seen growing interest in collecting vehicle location data in order to build up real-time traffic monitoring and analytic systems. However handling these data creates challenges, as they are massive in volume and arriving in near real-time. In this paper, we proposed GPSInsights, a distributed system that is scalable and efficient in processing huge volume of location data stream. GPSInsights is built up on open-source, scalable and distributed components. We demonstrated our system with a scalable map matching implementation and performed experiments with real big data sets.
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