Staff View: TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network

TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network

In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safety. Every year, road accidents cause numerous injuries and deaths all over the world. One of the various reasons for these accidents is the damaged roa...

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Main Authors:	Rahman, Md Arafatur, Muhammad Afiq, Azmi, Mohammad Nafees, Zaman, Naeem, Muhammad Kamran, Pillai, Prashant, Patwary, Mohammad Nuruzzaman
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/42420/1/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G.pdf http://umpir.ump.edu.my/id/eprint/42420/2/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G%20integrated%20team-forming%20network_ABS.pdf http://umpir.ump.edu.my/id/eprint/42420/ https://doi.org/10.1109/5GWF52925.2021.00089
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id	my.ump.umpir.42420
record_format	eprints
spelling	my.ump.umpir.424202024-10-30T04:43:12Z http://umpir.ump.edu.my/id/eprint/42420/ TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network Rahman, Md Arafatur Muhammad Afiq, Azmi Mohammad Nafees, Zaman Naeem, Muhammad Kamran Pillai, Prashant Patwary, Mohammad Nuruzzaman QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safety. Every year, road accidents cause numerous injuries and deaths all over the world. One of the various reasons for these accidents is the damaged roads. However, recent technological advancements have provided us with the opportunity to overcome these challenges and mitigate the number of accidents drastically. Thus, in this manuscript, we developed a cost-effective IoT device to capture information of potholes on the roads and alert the authority through gateways with the aid of our proposed architecture which integrates 5G networks. Experimental investigations have been carried out to test the performance of our model and our findings demonstrate that the proposed device performs significantly well in the testbed with an accuracy of little less than cent percent in team-forming network. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42420/1/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G.pdf pdf en http://umpir.ump.edu.my/id/eprint/42420/2/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G%20integrated%20team-forming%20network_ABS.pdf Rahman, Md Arafatur and Muhammad Afiq, Azmi and Mohammad Nafees, Zaman and Naeem, Muhammad Kamran and Pillai, Prashant and Patwary, Mohammad Nuruzzaman (2021) TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network. In: Proceedings - 2021 IEEE 4th 5G World Forum, 5GWF 2021. th IEEE 5G World Forum, 5GWF 2021 , 13 - 15 October 2021 , Virtual, Online. pp. 470-474.. ISBN 978-166544308-1 (Published) https://doi.org/10.1109/5GWF52925.2021.00089
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Rahman, Md Arafatur Muhammad Afiq, Azmi Mohammad Nafees, Zaman Naeem, Muhammad Kamran Pillai, Prashant Patwary, Mohammad Nuruzzaman TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
description	In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safety. Every year, road accidents cause numerous injuries and deaths all over the world. One of the various reasons for these accidents is the damaged roads. However, recent technological advancements have provided us with the opportunity to overcome these challenges and mitigate the number of accidents drastically. Thus, in this manuscript, we developed a cost-effective IoT device to capture information of potholes on the roads and alert the authority through gateways with the aid of our proposed architecture which integrates 5G networks. Experimental investigations have been carried out to test the performance of our model and our findings demonstrate that the proposed device performs significantly well in the testbed with an accuracy of little less than cent percent in team-forming network.
format	Conference or Workshop Item
author	Rahman, Md Arafatur Muhammad Afiq, Azmi Mohammad Nafees, Zaman Naeem, Muhammad Kamran Pillai, Prashant Patwary, Mohammad Nuruzzaman
author_facet	Rahman, Md Arafatur Muhammad Afiq, Azmi Mohammad Nafees, Zaman Naeem, Muhammad Kamran Pillai, Prashant Patwary, Mohammad Nuruzzaman
author_sort	Rahman, Md Arafatur
title	TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
title_short	TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
title_full	TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
title_fullStr	TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
title_full_unstemmed	TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network
title_sort	tracts-net : an intelligent road damage detection system using 5g integrated team-forming network
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2021
url	http://umpir.ump.edu.my/id/eprint/42420/1/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G.pdf http://umpir.ump.edu.my/id/eprint/42420/2/TRACTS-Net_An%20intelligent%20road%20damage%20detection%20system%20using%205G%20integrated%20team-forming%20network_ABS.pdf http://umpir.ump.edu.my/id/eprint/42420/ https://doi.org/10.1109/5GWF52925.2021.00089
_version_	1822924730403913728
score	13.23648

TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network

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