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A Big-Data Trajectory Combination Method for Navigations using Collected Trajectory Data
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 Title & Authors
A Big-Data Trajectory Combination Method for Navigations using Collected Trajectory Data
Koo, Kwang Min; Lee, Taeho; Park, Heemin;
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 Abstract
In trajectory-based navigation systems, a huge amount of trajectory data is needed for efficient route explorations. However, it would be very hard to collect trajectories from all the possible start and destination combinations. To provide a practical solution to this problem, we suggest a method combining collected GPS trajectories data into additional generated trajectories with new start and destination combinations without road information. We present a trajectory combination algorithm and its implementation with Scala programming language on Spark platform for big data processing. The experimental results proved that the proposed method can effectively populate the collected trajectories into valid trajectory paths more than three hundred times.
 Keywords
Trajectory-based Navigation System;Location-Based Services;Combining GPS Trajectories;Big Data Processing;
 Language
Korean
 Cited by
1.
수집한 GPS데이터의 상호방향성을 이용한 경로데이터 조합방법,구광민;박희민;

한국멀티미디어학회논문지, 2016. vol.19. 8, pp.1636-1645 crossref(new window)
1.
A Combination Method of Trajectory Data using Correlated Direction of Collected GPS Data, Journal of Korea Multimedia Society, 2016, 19, 8, 1636  crossref(new windwow)
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