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.

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);

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)