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

Applied Sciences - Tập 13 Số 1 - Trang 106
Wenya Ye1, Rui Zhang2, Qun Yang2
1School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, China
2The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China

Tóm tắt

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.

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