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Smart city article details

Title	Real-Time Smart Parking Integration In Intelligent Transportation Systems (Its)
ID_Doc	44448
Authors	Mekni M.; Atilho S.; Greenfield B.; Placzek B.; Nassar M.
Year	2023
Published	Lecture Notes in Networks and Systems, 815 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-47457-6_14
Abstract	The surge in the volume of vehicles on the roads has led to a significant increase in traffic issues. The current transportation and parking facilities are inadequate to handle this rise, causing drivers to struggle with locating parking spaces during peak times. This leads to inefficient time and energy. Therefore, intelligent parking systems are crucial for the development of smart cities to address immediate parking needs. The objectives of intelligent parking systems encompass identifying unoccupied parking spots and tallying parked vehicles. This article introduces a smart parking system proposal that employs real-time image processing methods. This system offers multiple functions, such as detecting available parking spaces, recognizing improperly parked cars, displaying open parking areas, and offering guidance to different types of parking spaces, including those designated for handicapped individuals. By utilizing the existing video surveillance setup, this system captures and analyzes sequences of images to direct and update drivers regarding vacant parking spaces. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Image Processing; Object Recognition; Parking Systems; Smart Transportation

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