International Journal Engineering and Applied Technology (IJEAT)
Vol. 5 No. 2 (2022): November 2022

Broken Road Detection Methods Comparison: A Literature Survey

Indra Yustiana (Nusa Putra University)
Somantri (Nusa Putra University)
Dudih Gustian (Nusa Putra University)
Anggy Pradifta Junfithrana (Nusa Putra University)
Satish Kumar Damodar (University of Twente)

Article Info

Publish Date
23 Nov 2022

Abstract

Roads are infrastructure built to facilitate regional development. Good road conditions will certainly provide a sense of comfort for every vehicle that will pass through it. For that, care and attention to road conditions needs to be done. The occurrence of damage to the road will hinder the development process. Currently, detection of damaged roads is still done manually using human resource. It makes the detection process take quite a lot of time to determine how bad the damage is. So there needs a way to help improve time efficiency and accuracy in detecting damaged roads. One of them is by utilizing machine learning technology. In this paper, we will discuss what methodology can be use and their comparisons to be able to use appropriate and effective methodologies to detect cases of damaged roads

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Journal Info
International Journal Engineering and Applied Technology (IJEAT)
Website

Abbrev

IJEAT

Publisher

Universitas Nusa Putra

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

Description

IJEAT publishes original papers only and the submission of a manuscript will be taken to imply that the contributions are original and that no similar manuscript has been or is being submitted to other journals. Manuscripts are solicited from all areas of specialization in engineering. IJEAT is an ...