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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42420/ 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 |
| _version_ | 1848826606505689088 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:47:30Z |
| format | Conference or Workshop Item |
| id | ump-42420 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:47:30Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/42420/ http://umpir.ump.edu.my/id/eprint/42420/ 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 |