Data mining application based on fuzzy clustering for traffic network evaluation
Quan Wang, Wei Wang, Deren Li, Chao Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.