文章基本信息

标题：In-memory Distributed Processing Method for Traffic Big Data to Analyze and Share Traffic Events in Real Time among Social Groups
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作者：Dojin Choi ; Bosung Kim ; Insu Bae 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：1
页码：51-58
DOI：10.14257/ijseia.2016.10.1.06
出版社：SERSC
摘要：In this paper, we propose an in-memory distributed processing method that can rapidly process vehicle location and traffic event data using Spark Streaming. The proposed system enables to share information about surrounding vehicles, pedestrians, and traffic events in real time with drivers who use the WEVING service. In the proposed method, vehicle location and traffic event streams are indexed using the grid indexing technique according to time, and the continuous range query method is processed based on the index. Also, traffic events are grouped based on occurrence time, location, content, and road segment of the traffic event transferred in real time in order to avoid duplicated traffic events. Through experiments, we show that the proposed method is able to deduplicate similar traffic events efficiently.
关键词：traffic data; big data; social group; spark streaming