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Ordinal Cluster Division of Road Section Considering Maintenance Factor Weight
Road section division is a prerequisite for pavement management and maintenance. The existing research mostly divides road sections arbitrarily without considering the significance of each influencing element. This work presents an improved ordinal cluster division method. The weight of each maintenance factor including equivalent standard axle loadings (ESALs), pavement thickness, pavement roughness, and pavement damage condition is determined by the fuzzy analytic hierarchy process (FAHP) approach. Based on the weight system, the maintenance section is divided utilizing ordinal clustering method. It is solved by recursion formula of dynamic programming with objection to minimize the sum of internal variation of all sections. A numerical case study of the G6 highway was conducted, which demonstrates the effectiveness and efficiency of the proposed method.
Ordinal Cluster Division of Road Section Considering Maintenance Factor Weight
Road section division is a prerequisite for pavement management and maintenance. The existing research mostly divides road sections arbitrarily without considering the significance of each influencing element. This work presents an improved ordinal cluster division method. The weight of each maintenance factor including equivalent standard axle loadings (ESALs), pavement thickness, pavement roughness, and pavement damage condition is determined by the fuzzy analytic hierarchy process (FAHP) approach. Based on the weight system, the maintenance section is divided utilizing ordinal clustering method. It is solved by recursion formula of dynamic programming with objection to minimize the sum of internal variation of all sections. A numerical case study of the G6 highway was conducted, which demonstrates the effectiveness and efficiency of the proposed method.
Ordinal Cluster Division of Road Section Considering Maintenance Factor Weight
Song, Yang (Autor:in) / Chen, Zhang (Autor:in) / Liu, Cheng-Long (Autor:in) / Sun, Li-Jun (Autor:in)
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 1224-1233
18.01.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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