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Proceedings Paper

Data mining application based on fuzzy clustering for traffic network evaluation
Author(s): Quan Wang; Wei Wang; Deren Li; Chao Wang
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678628 (15 November 2007); doi: 10.1117/12.749416
Show Author Affiliations
Quan Wang, Wuhan Univ. (China)
Wei Wang, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Chao Wang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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