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)
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | IoT; Road damage detection; Team-forming network |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 30 Oct 2024 04:43 |
| Last Modified: | 30 Oct 2024 04:43 |
| URI: | http://umpir.ump.edu.my/id/eprint/42420 |
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