Title: An IoT based efficient multi-objective real-time smart parking system

Authors: Hitesh Mohapatra; Amiya Kumar Rath

Addresses: Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, 768018, India ' Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, 768018, India

Abstract: The improper parking invites many negative side effects on urban roads. In this work, we propose a unique smart parking analyst (SPA) model for adequate parking. The SPA broadly focuses on two types of parking spaces such as public and private space-based smart parking. Here, we broadcast all the sensor-based real-time parking information through LED displays at the appropriate point for the convenience of all types of people. Additionally, we propose an efficient clear crowd (CC) method which helps to make available parking space most of the time and to generate more revenue from parking areas in case of excessive use. The result of our execution shows that it achieves high efficiency of 94.23% in judging the appropriate parking slots and high accuracy of 91.76% in making free the occupied parking area. On the other hand the proposed model generates revenue of 1.18 times than the existing conventional parking model.

Keywords: wireless sensor network; smart parking; revenue generation; internet of things; private parking; public parking; crowd clearance; parking analyst; V2I; vehicle-to-infrastructure.

DOI: 10.1504/IJSNET.2021.119483

International Journal of Sensor Networks, 2021 Vol.37 No.4, pp.219 - 232

Received: 08 Jul 2020
Accepted: 12 Feb 2021
Published online: 07 Dec 2021 *

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