A Consistency Evaluation Method of Pavement Performance Based on K-Means Clustering and Cumulative Distribution

被引：2

作者：

Ye, Wenya ^{[1
]}

Zhang, Rui ^{[2
]}

Yang, Qun ^{[2
]}

机构：

[1] Ningbo Univ Technol, Sch Civil & Transportat Engn, Ningbo 315211, Peoples R China

[2] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, 4800 Caoan Rd, Shanghai 201804, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 01期

基金：

芬兰科学院;

关键词：

pavement performance evaluation; cumulative distribution; K-means clustering; sampling theorem; NUMERICAL-SOLUTION; CONVOLUTION; VARIABILITY; PREDICTION; THEOREM; MODEL;

D O I：

10.3390/app13010106

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

This paper proposes a cumulative distribution modelling method for pavement performance indexes based on the sampling theorem and implements clustering analysis of similar road sections through the K-means algorithm. The results show that: (1) The modelling method proposed in this paper can convert discrete pavement performance data into a continuous function of pavement performance indexes and a continuous function of pavement performance cumulative distribution and achieve the acquisition of a large amount of pavement performance data. (2) Based on the cumulative distribution and K-means clustering, it is possible to understand the overall pavement performance status of the network and identify road sections with similar decay models and poor decay status for focused attention, which constructed the pavement performance evaluation system of the three-level system of road network-road section-unit road section.

引用

页数：13

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