TRACTS-Net: An Intelligent Road Damage Detection System using 5G Integrated Team-forming Network

被引:1
|
作者
Rahman, Md Arafatur [1 ]
Bin Azmi, Muhammad Afiq [2 ]
Zaman, Nafees [2 ]
Naeem, Muhammad Kamran [1 ]
Pillai, Prashant [1 ]
Patwary, Mohammad [1 ]
机构
[1] Univ Wolverhampton, Fac Sci & Engn, Wolverhampton, England
[2] Univ Malaysia Pahang, Fac Comp, Pekan, Malaysia
关键词
IoT; team-forming network; road damage detection;
D O I
10.1109/5GWF52925.2021.00089
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the era of fifth generation of cellular communication (5G), connected vehicles are expected to play a crucial role in transportation and road safely. 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 loT device to capture informal 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.
引用
收藏
页码:470 / 474
页数:5
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