Abstract
Base on MATLAB software, a grey clustering analysis method was applied to evaluate road traffic safety condition in this paper. Road traffic safety condition was divided into four grey grades, such as excellent(A-level), good(B-level), average(C-level) and poor(D-level). According to the grey clustering method, the evaluation matrix, whiten weight functions of every grey grade and comprehensive decision weights were given. Evaluation results suggest that: the theory of grey clustering evaluation for road traffic safety condition is practicable and reliable.
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Miao, X., Li, M. (2011). Grey Clustering Evaluation for Road Traffic Safety Condition. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_55
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DOI: https://doi.org/10.1007/978-3-642-23777-5_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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