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- W768450892 abstract "The roads represented by the condition data must be split into homogeneous parts of similar values or even statistically uniform properties, and be aggregated as meaningful road segments to be treated in Pavement Management Systems (PMS). Data pre-processing can significantly affect sectioning results. In the past years, several algorithms were developed to obtain the homogeneous sections; however, there are currently no practical or widely acceptable guidelines on the issue of how to choose and apply the algorithms properly. The most relevant previous studies involving pavement segmentation algorithms were reviewed and their findings reported. From the engineering point of view, some algorithms are difficult to implement in pavement management practice due to issues related to data transformation, complicated calculations, time consumption, or additional software required. The deflection measurements obtained from two sections in the United Kingdom were analyzed with seven algorithms to verify their effectiveness and efficiency including parameter sensitivity, data pretreatment and post treatment to ensure the requirements of both statistical significance and engineering practice. Finally, a new segmentation procedure consisting of wavelet, Classification and Regression Trees, t-test, and quality control methods to identify large peaks is proposed." @default.
- W768450892 created "2016-06-24" @default.
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- W768450892 date "2013-01-01" @default.
- W768450892 modified "2023-09-24" @default.
- W768450892 title "Comparative Analysis of Promising Algorithms for Pavement Homogeneous Segmentation" @default.
- W768450892 hasPublicationYear "2013" @default.
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