@inproceedings{b30dc43297f2492cbc0c8f395bbb5cd4,
title = "Review and study of mechanical vibrations for pavement condition assessment",
abstract = "This paper reviews vibration data analysis and relates them to the determination of pavement failure modes as a roughness assessment method. Pavement roughness directly influences ride comfort and surface distortion. All previous studies examined roughness from both points of view and correlated it with acceleration data, gathered either by conventional (accelerometers) and unconventional methods (smartphone applications, mobile sensor networks). The paper compares the pros and cons of current methods used for pavement condition assessments. Road tests using three different sizes of vehicle were conducted to provide and supplement knowledge of the potential of using alternative methods. While the research is ongoing, the paper provides current findings in a road test and recommends future needs for improvements.",
author = "Ho, {Chun Hsing} and Davidescu, {Alina Maria}",
note = "Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group, London.; 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
year = "2016",
doi = "10.1201/9781315643274-95",
language = "English (US)",
isbn = "9781315643274",
series = "Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016",
publisher = "CRC Press/Balkema",
pages = "907--914",
editor = "Sandra Erkens and Xueyan Liu and Kumar Anupam and Yiqiu Tan",
booktitle = "Functional Pavement Design - Proceedings of the 4th Chinese-European Workshop on Functional Pavement Design, CEW 2016",
}