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An IoT-Based Smart Parking System for Smart Cities

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Smart Trends in Computing and Communications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 396))

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Abstract

There has been an exponential growth in the vehicle population in recent times, adding to the metropolitan traffic. This increase in the number of vehicles has led to the problem of inadequate parking spaces resulting in traffic congestion. To address this challenge, a smart parking system is proposed in this paper, which makes use of TIME RESOURCE SHARING to effectively utilize the parking spaces based on peak demand time and enables prior identification and reservation of parking space with the help of unique identification. The system periodically updates the parking status. The interaction of the driver and the owner of the parking space takes place through the application connected through the cloud. The related work in this area has also been referred. The proposed system has the potential to transform the current parking method and alleviate the traffic congestion caused by insufficient parking space.

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Correspondence to Venkatesh Mane .

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Mane, V., Kubasadgoudar, A.R., Shet, R., Iyer, N.C. (2023). An IoT-Based Smart Parking System for Smart Cities. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 396. Springer, Singapore. https://doi.org/10.1007/978-981-16-9967-2_51

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  • DOI: https://doi.org/10.1007/978-981-16-9967-2_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9966-5

  • Online ISBN: 978-981-16-9967-2

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