A Smart Real-Time Parking Control and Monitoring System

Author:

Elfaki Abdelrahman Osman1ORCID,Messoudi Wassim1,Bushnag Anas1,Abuzneid Shakour2ORCID,Alhmiedat Tareq13ORCID

Affiliation:

1. Faculty of Computers & Information Technology, University of Tabuk, Tabuk 47512, Saudi Arabia

2. Department of Cybersecurity and Network, School of Criminal Justice Studies, Roger Williams University, Bristol, RI 02809, USA

3. Artificial Intelligence and Sensing Technologies (AIST) Center, University of Tabuk, Tabuk 47512, Saudi Arabia

Abstract

Smart parking is an artificial intelligence-based solution to solve the challenges of inefficient utilization of parking slots, wasting time, congestion producing high CO2 emission levels, inflexible payment methods, and protecting parked vehicles from theft and vandalism. Nothing is worse than parking congestion caused by drivers looking for open spaces. This is common in large parking lots, underground garages, and multi-story car parks, where visibility is limited and signage can be confusing or difficult to read, so drivers have no idea where available parking spaces are. In this paper, a smart real-time parking management system has been introduced. The developed system can deal with the aforementioned challenges by providing dynamic allocation for parking slots while taking into consideration the overall parking situation, providing a mechanism for booking a specific parking slot by using our Artificial Intelligence (AI)-based application, and providing a mechanism to ensure that the car is parked in its correct place. For the sake of providing cost flexibility, we have provided two technical solutions with cost varying. The first solution is developed based on a motion sensor and the second solution is based on a range-finder sensor. A plate detection and recognition system has been used to detect the vehicle’s license plate by capturing the image using an IoT device. The system will recognize the extracted English alphabet and Hindu-Arabic Numerals. The proposed solution was built and field-tested to prove the applicability of the proposed smart parking solution. We have measured and analyzed keen data such as vehicle plate detection accuracy, vehicle plate recognition accuracy, transmission delay time, and processing delay time.

Funder

Deanship of Scientific Research (DSR) at the University of Tabuk

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PARKTag: An AI–Blockchain Integrated Solution for an Efficient, Trusted, and Scalable Parking Management System;Technologies;2024-09-06

2. Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments;Navigating the Internet of Things in the 22nd Century - Concepts, Applications, and Innovations [Working Title];2024-08-23

3. Smart Parking System in Smart Cities Based On the Internet of Things and Machine Learning;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

4. Smart Parking System Using IoT;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

5. Constraint Optimization Model for Dynamic Parking Space Allocation;Sensors;2024-06-19

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