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- W2766724054 abstract "In recent years, the rapid development of Internet of Things have led to the explosive growth of traffic data. Big traffic data has rapidly developed into a hot topic that attracts extensive attention from academia, industry and governments. The efficient approach to find accompany vehicle is a kind of practices for police criminal investigation department with regard to massive vehicle data retrieval. In this paper, we propose a MapReduce-based approach to find accompany vehicle which contains two MapReduce jobs: the first is to extract the accompany vehicle pairs by traffic monitor position; and the second is to calculate the total frequency of each accompany vehicle pair based on the output of the first job." @default.
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- W2766724054 date "2017-10-21" @default.
- W2766724054 modified "2023-09-28" @default.
- W2766724054 title "MapReduce-Based Approach to Find Accompany Vehicle in Traffic Data" @default.
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- W2766724054 doi "https://doi.org/10.1007/978-3-319-67071-3_5" @default.
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