Data mining application based on fuzzy clustering for traffic network evaluation

Quan Wang; Wei Wang; Deren Li; Chao Wang

doi:10.1117/12.749416

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15 November 2007 Data mining application based on fuzzy clustering for traffic network evaluation

Quan Wang, Wei Wang, Deren Li, Chao Wang

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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678628 (2007) https://doi.org/10.1117/12.749416
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In GIS for Transportation (GIS-T), how to discover knowledge from complex traffic data is very vital. This paper focuses on the regional traffic to evaluate the traffic condition in a certain region, which can provide decision-making support for leadership. Nowadays, there are multitudinous regional traffic network evaluation models, most of which are based on a single item of index. It is difficult to give a satisfying evaluation result to the whole regional traffic condition. In this paper, we establish a regional traffic evaluation system for traffic network based on the theory of fuzzy clustering and maximizing deviation, and evaluate the traffic networks of 15 regions in Hubei province in 2004.

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Quan Wang, Wei Wang, Deren Li, and Chao Wang "Data mining application based on fuzzy clustering for traffic network evaluation", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678628 (15 November 2007); https://doi.org/10.1117/12.749416

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