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IoT-Based Sustainable Parking Lot
Binmahfooz, Abdullah Mohammed, Ibrahim Alshamsi, Khalfan Alshaali, Marwan Dhou, Salam Alnabulsi, Ahmad Al-Ali, Abdul-Rahman
Binmahfooz, Abdullah
Mohammed, Ibrahim
Alshamsi, Khalfan
Alshaali, Marwan
Dhou, Salam
Alnabulsi, Ahmad
Al-Ali, Abdul-Rahman
Date
2023-11
Advisor
Type
Preprint
Article
Peer-Reviewed
Article
Peer-Reviewed
Degree
Description
Abstract
This paper aims to eliminate the loophole that unregistered vehicles abuse to avoid fines and park illegally by devolving an IoT-based smart parking access control system. The proposed system utilizes a single-board computer with a set of sensors, cameras and actuators. The access control system employs a combination of vehicle detection and plate recognition algorithms to identify and authenticate vehicles entering and exiting the parking lot. Moreover, a carbon emissions sensor at the gate is used to detect the generated emission rates by vehicles entering the parking lot. Furthermore, deep learning neural network was used to predict the congestion of the parking lot at any day or time. Moreover, a website was developed to enable administrators and users to access and interact with the system. Experimental results showed that the system was able to perform the functionality with high accuracy. The coefficient of determination (R²) achieved of the car congestion prediction module was 0.97. A survey was conducted to measure the users’ satisfaction with the proposed system. The survey results indicated that the majority of respondents (90.6%) reported an overall positive attitude towards the user interface and expressed their satisfaction with the system. The benefits of this work include the well-being and convenience of the paying participants in addition to tremendously reducing the workload required of the parking security guards and creating a more environmentally friendly parking lot. The proposed system can be utilized in public parking, residential towers and compounds, and shopping malls.