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Title	Integrating Iot In Transportation For Smart City Development For Secured Data Processing
ID_Doc	32018
Authors	Priya R.; Lakshmi R.A.; Sudha C.; Pal S.; Ali G.A.; Alajmani S.H.
Year	2024
Published	2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 - Proceedings
DOI	http://dx.doi.org/10.1109/ETNCC63262.2024.10767471
Abstract	In this study, we propose the architecture and implementation of an IoT and machine learning powered Integrated Transport Management (ITM-SCD)for Smart City Development to mitigate the issues described above. The design takes all potential transportation system difficulties into account by utilizing many scenarios. The model integrates the various city systems into a single, cohesive whole, with an emphasis on secured data. People's movements can be monitored that smart transportation, healthcare, and entertainment can be provided. We discuss the challenges of transit security and smart city applications, as well as possible solutions based on AI and ML. Then, for smart health, transportation, and energy, some solutions to these privacy and security issues are offered. © 2024 IEEE.
Author Keywords	Artificial Intelligence; Congestion; Integrated Transport Management and security; IoT; privacy; Smart City; Traffic

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