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Title	Smart City Parking Optimization:Integrating Edge Computing And Iot Technologies
ID_Doc	50402
Authors	Vigneshwaran R.; Ramkumar M.; Jones Martin A.; Ahsan Shariff M.
Year	2024
Published	4th International Conference on Power, Energy, Control and Transmission Systems: Harnessing Power and Energy for an Affordable Electrification of India, ICPECTS 2024
DOI	http://dx.doi.org/10.1109/ICPECTS62210.2024.10780414
Abstract	In today's increasingly digitalized world with a growing trend of digitalization of almost all services, efficient urban parking management becomes a necessity. Traditional urban parking systems are usually infrastructure-heavily born relying on manual reporting and process that is ineffective and driver-offending. In this line, we suggest a smart parking system based on edge computing. Briefly, our smart parking system aims to innovate urban parking management, providing real-time parking availability to drivers, optimizing parking capacity to space ration and traffic congestion. Powered by edge computing, our system demonstrates a fast response time and potential scalability. Swipe motions and contextual data are collected in real-time through IoT devices, allowing for enhanced decision-making and seamless user experience [11]. This paper reviews the design and operation our smart parking system, highlighting the improvements in urban parking management and driver experience. © 2024 IEEE.
Author Keywords	Edge computing; Real-time information; Smart parking; Traffic management; Urban mobility

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