Development of a QR-Code Based Smart Car Parking System

Hoq, Enamul; Paul, Sajib; Erin, Md. Tarek Ur Rahman

doi:10.1109/icaee48663.2019.8975536

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Recently, QR codes have been widely applied in various domains, such as social media, learning, marketing, and more. It can be applied in smart parking, where an automatic parking system was suggested by the authors of [7]. The use of QR code technology will make it more convenient for users overall.…”

Section: Introductionmentioning

confidence: 99%

IOT Based Smart Parking System Using Ensemble Learning

Elashmawi¹,

Ahmad²,

Yasser³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Parking space is usually very limited in major cities, especially Cairo, leading to traffic congestion, air pollution, and driver frustration. Existing car parking systems tend to tackle parking issues in a non-digitized manner. These systems require the drivers to search for an empty parking space with no guarantee of finding any wasting time, resources, and causing unnecessary congestion. To address these issues, this paper proposes a digitized parking system with a proof-of-concept implementation that combines multiple technological concepts into one solution with the advantages of using IoT for real-time tracking of parking availability. User authentication and automated payments are handled using a quick response (QR) code on entry and exit. Some experiments were done on real data collected for six different locations in Cairo via a live popular times library. Several machine learning models were investigated in order to estimate the occupancy rate of certain places. Moreover, a clear analysis of the differences in performance is illustrated with the final model deployed being XGboost. It has achieved the most efficient results with a R 2 score of 85.7%.

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Section: Introductionmentioning

confidence: 99%

IOT Based Smart Parking System Using Ensemble Learning

Elashmawi¹,

Ahmad²,

Yasser³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Disabled Smart Parking Management using RFID Technology

Jenulin Makros,

Ancy Jenifer.,

Adithya

et al. 2023

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)

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Automated Parking Lot Management System

Dr. Choupiri Shivakeshi,

A Aslam Basha,

Abdul Rehman Belgaumi

et al. 2024

IJARSCT

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Automated parking management system, utilizing machine learning for license plate recognition, has simplified the ticket generation and parking space allocation process in large parking areas. It offers a user-friendly experience by swiftly recognizing license plates upon vehicle entry. Furthermore, the system efficiently guides vehicles to the most suitable parking spaces, optimizing usage and alleviating congestion. This innovative approach streamlines these procedures, enhancing user convenience. It also plays a part in creating a more sustainable urban environment by reducing fuel consumption and emissions. To sum it up, our integration of machine learning for license plate recognition provides an efficient and eco-conscious solution to urban parking challenges, making parking hassle-free and environmentally friendly

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Development of a QR-Code Based Smart Car Parking System

Cited by 3 publications

References 3 publications

IOT Based Smart Parking System Using Ensemble Learning

IOT Based Smart Parking System Using Ensemble Learning

Disabled Smart Parking Management using RFID Technology

Automated Parking Lot Management System

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