Traffic data processing based on granular computing
D.W. Seng, J. Wang, J. Chen, X.J. Fang
Pages: 163-174
Abstract:
With the explosive growth of in recent years, it caused the scientific community pay close attention to the big research. As a part of the big , traffic not only have big ’s 3V-features (volume, variety, velocity), but also have its special features, such as hierarchy, instantaneity, and so on. Firstly, this paper summarized current situation of traffic processing, take a deep insight into the limitations and problems existing in the research; Secondly, discussed the basic theory and method of granular computing (GrC); Verified the feasibility of using GrC to solve the problem of traffic processing, and put forward the idea of using GrC to deal with these problems.
Keywords: GrC; traffic data; intelligent transportation; information fusion
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