GPSInsights: Towards an efficient framework for storing and mining massive vehicle location data
SoICT(2015)
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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