Title: Smart parking occupancy detection method using smart app

Authors: Atiqur Rahman; Emmanuel Ufiteyezu

Addresses: Department of Computer Science and Engineering, University of Chittagong, Hathazari, Chittagong, Bangladesh; Electrical and Electronics Department, University of Rwanda, Kigali, Rwanda ' Department of Computer Science and Engineering, University of Chittagong, Hathazari, Chittagong, Bangladesh; Electrical and Electronics Department, University of Rwanda, Kigali, Rwanda

Abstract: Population growth in cities results in a demand for parking lots from an increasing number of automobiles, which frequently contributes to the global problem of traffic congestion. This study presents the smart parking occupancy detection system as a technique to scientifically enhance the existing parking lot, i.e., parking guidance and information method or something else, occupancy detection system. The smart app named rPark is promoted as a cutting-edge method of parking detection. Ultra-high frequency static radio frequency identification chips are placed on the asphalt and cross-examined by Radio Frequency Identification interrogator aerials over the parking areas to initially assess utilisation status. This plan eliminates the majority of the challenges associated with current up-to-the-minute parking usage identification techniques. The parking detection accuracy of rPark, which was tested and used to illustrate an experimental analysis in a real-world outdoor parking space, has been confirmed to be about 100%.

Keywords: radio frequency identification; parking app; smart parking; parking garage; cloud database.

DOI: 10.1504/IJWMC.2024.136588

International Journal of Wireless and Mobile Computing, 2024 Vol.26 No.1, pp.99 - 105

Received: 25 Oct 2022
Accepted: 07 Aug 2023
Published online: 07 Feb 2024 *

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