@article {Han:2019:0736-2935:1895,
title = "Noise-based pavement condition inspection method with dynamic time warping",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2019",
volume = "259",
number = "8",
publication date ="2019-09-30T00:00:00",
pages = "1895-1901",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2019/00000259/00000008/art00100",
author = "Han, Daeseok and Lee, Sang-hyuk and Park, Kisoo and Lee, Suhyung",
abstract = "Traditionally, pavement condition inspections have been dependent on visual-based information, but there are disadvantages that it requires a lot of manpower, equipment and budget. Especially, very expensive automated inspection vehicles are essential for network level pavement inspection.
This is considered as a major obstacle to the introduction of the pavement management system of road agencies in poor management environment. This study proposes a method determining the pavement service level using the pavement-tire friction noise. Noise measurement specification is according
to the ISO11819-2, and judging the service ratings for noise profiles is conducted by the K-nearest neighbor with Dynamic Time Warping (DTW), a pattern recognition algorithm categorized in the machine learning. This simple idea and technique could present a new paradigm that replaces traditional
visual-based inspection methods.",
}