Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning
With the escalating number of vehicles and the lack of parking spaces, the issue of parking has become a significant problem in major cities as it is a daily occurrence for educational institutions, companies, and government facilities, resulting in fuel wastage and time inefficiencies. In their wor...
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| Format: | Article |
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PeerJ Inc.
2025-01-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-2544.pdf |
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| author | Mofadal Alymani Lenah Abdulaziz Almoqhem Dhuha Ahmed Alabdulwahab Abdulrahman Abdullah Alghamdi Hussain Alshahrani Khalid Raza |
| author_facet | Mofadal Alymani Lenah Abdulaziz Almoqhem Dhuha Ahmed Alabdulwahab Abdulrahman Abdullah Alghamdi Hussain Alshahrani Khalid Raza |
| author_sort | Mofadal Alymani |
| collection | DOAJ |
| description | With the escalating number of vehicles and the lack of parking spaces, the issue of parking has become a significant problem in major cities as it is a daily occurrence for educational institutions, companies, and government facilities, resulting in fuel wastage and time inefficiencies. In their work lives, employees often face problems when parking their cars in the work parking area. Finding a space for their vehicle can take a lot of time and effort, leading to late arrival for work. On the other hand, security guards have difficulty entering their employees’ cars. In this context, our proposed system attempts to address this pressing issue, which consists of two parts: one is a camera at the parking gate that recognizes the license plate using the Automatic Number Plate Recognition (ANPR) algorithm, where the camera captures the license plate and outputs the plate number using the optical character recognition (OCR) technique. After that, the resulting data is cross-referenced with database records for seamless entry authentication. This eliminates the need for security personnel to verify vehicle identities or stickers manually, streamlining access procedures. The second part is a camera in the car parks that distinguishes between vacant and available parking spaces and stores the data collected by the camera in the centralized database, enabling the real-time display of the nearest available parking spots on digital screens at entrance gates, significantly reducing the time and effort spent in locating parking spaces. Through this innovative solution, we aim to enhance urban mobility and alleviate the challenges associated with urban parking congestion, thereby resolving the problem of intelligent parking for smart cities with the help of machine learning. |
| format | Article |
| id | doaj-art-18f554cf7d70453f8a32371d7f2b195e |
| institution | Kabale University |
| issn | 2376-5992 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj-art-18f554cf7d70453f8a32371d7f2b195e2025-01-17T15:05:07ZengPeerJ Inc.PeerJ Computer Science2376-59922025-01-0111e254410.7717/peerj-cs.2544Enabling smart parking for smart cities using Internet of Things (IoT) and machine learningMofadal Alymani0Lenah Abdulaziz Almoqhem1Dhuha Ahmed Alabdulwahab2Abdulrahman Abdullah Alghamdi3Hussain Alshahrani4Khalid Raza5Department of Computer and Network Engineering, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi ArabiaDepartment of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi ArabiaDepartment of Computer Science, Jamia Millia Islamia, New Delhi, Delhi, IndiaWith the escalating number of vehicles and the lack of parking spaces, the issue of parking has become a significant problem in major cities as it is a daily occurrence for educational institutions, companies, and government facilities, resulting in fuel wastage and time inefficiencies. In their work lives, employees often face problems when parking their cars in the work parking area. Finding a space for their vehicle can take a lot of time and effort, leading to late arrival for work. On the other hand, security guards have difficulty entering their employees’ cars. In this context, our proposed system attempts to address this pressing issue, which consists of two parts: one is a camera at the parking gate that recognizes the license plate using the Automatic Number Plate Recognition (ANPR) algorithm, where the camera captures the license plate and outputs the plate number using the optical character recognition (OCR) technique. After that, the resulting data is cross-referenced with database records for seamless entry authentication. This eliminates the need for security personnel to verify vehicle identities or stickers manually, streamlining access procedures. The second part is a camera in the car parks that distinguishes between vacant and available parking spaces and stores the data collected by the camera in the centralized database, enabling the real-time display of the nearest available parking spots on digital screens at entrance gates, significantly reducing the time and effort spent in locating parking spaces. Through this innovative solution, we aim to enhance urban mobility and alleviate the challenges associated with urban parking congestion, thereby resolving the problem of intelligent parking for smart cities with the help of machine learning.https://peerj.com/articles/cs-2544.pdfInternet of ThingsMachine learningSmart cityImage processingOptimization |
| spellingShingle | Mofadal Alymani Lenah Abdulaziz Almoqhem Dhuha Ahmed Alabdulwahab Abdulrahman Abdullah Alghamdi Hussain Alshahrani Khalid Raza Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning PeerJ Computer Science Internet of Things Machine learning Smart city Image processing Optimization |
| title | Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning |
| title_full | Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning |
| title_fullStr | Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning |
| title_full_unstemmed | Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning |
| title_short | Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning |
| title_sort | enabling smart parking for smart cities using internet of things iot and machine learning |
| topic | Internet of Things Machine learning Smart city Image processing Optimization |
| url | https://peerj.com/articles/cs-2544.pdf |
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