Grey clustering evaluation for highway condition

According to relevant factors including pavement condition index, structure strength index, subgrade condition index and other factors, a grey clustering analysis method was applied to evaluate the highway condition in this paper. Highway condition was divided into five grey sorts, such as excellent(A-level), good(B-level), average(C-level), sub(D-level) and poor(E-level). Base on the grey clustering theory, the evaluation matrix, whiten weight functions of every grey sort, grey clustering weights and clustering evaluation weighting values belong to every grey sort were given. Then results were obtained. At last the evaluation results were compared with drilling data. Evaluation results suggest that: the theory of grey clustering evaluation for highway condition is practicable and reliable.