UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204412


Registration ID:
400642

Page Number

e64-e71

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Title

PAVEMENT DISTRESS DETECTION METHODS: A REVIEW

Abstract

Roads are the most important component of infrastructure because they provide mobility and connectivity to people's lives. As the number of vehicles on the road increases, more pavement distress and damage emerge on the road surface, resulting in poor riding experience. Roads must be regularly checked and repaired as needed to ensure consistent surface quality. Road pavement monitoring systems have become one of the most popular topics of discussion among transportation infrastructure agencies and governments in recent years. Authorities invest a significant amount of time, money, and labor in detecting pavement damage using manual and instrumented approaches that are often difficult and time consuming. Pavement distress detection employs a variety of automated strategies to solve these problems. The goal of this paper was to look into the many pavement monitoring systems that are recently used to assess the condition of road pavements. This paper also present manual method of distress detection in coloration with artificial intelligence that is used for measuring pavement performance index.

Key Words

Dynamic Monitoring, Convolutional neural network, Artificial neural network, Pavement distress detection, Smart phone sensors

Cite This Article

"PAVEMENT DISTRESS DETECTION METHODS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e64-e71, April-2022, Available :http://www.jetir.org/papers/JETIR2204412.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PAVEMENT DISTRESS DETECTION METHODS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe64-e71, April-2022, Available at : http://www.jetir.org/papers/JETIR2204412.pdf

Publication Details

Published Paper ID: JETIR2204412
Registration ID: 400642
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e64-e71
Country: Valsad, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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