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Smart city article details

Title	Iot Regression Techniques In Smart Parking Systems: Survey
ID_Doc	33880
Authors	Kaleeem K.S.; Samkham Raju A.; Giweli N.; Dawoud A.; Prasad P.W.C.; Kashef M.A.
Year	2021
Published	CITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Application, Proceedings
DOI	http://dx.doi.org/10.1109/CITISIA53721.2021.9719884
Abstract	Smart cities are one of the main areas where IoT showed great success, collecting and processing enormous amounts of data to facilitate different applications. Smart parking is one of the evolving smart cities applications. The rapid increase in the population also results in a high number of vehicles that may lead to traffic congestion in urban cities. This traffic congestion is increasing the problem of urban mobility. Urban mobility may have an adverse impact on the quality of life as well as the economy. This problem can be mitigated with the efficient management of the parking systems. This work aims to review the IoT-based regression techniques used in smart parking systems to overcome the problem of urban mobility. IoT-based regression techniques are used to predict parking space in the parking area so that the drivers can get parking space on time and the problem of urban mobility can be mitigated. It was identified that regression techniques efficiently predicted parking space availability. This study provides a comprehensive review of regression techniques used in IoT smart parking applications. The system architecture was also presented to get a better understanding of this work. © 2021 IEEE.
Author Keywords	Internet of Things; Regression techniques; Smart parking systems; Urban mobility

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