Data mining application based on fuzzy clustering for traffic network evaluation

Quan Wang; Wei Wang; Deren Li; Chao Wang

doi:10.1117/12.749416

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

Quan Wang, Wei Wang, Deren Li, Chao Wang

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.

Citation Download Citation

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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