UParking: Developing a Smart Parking Management System Using the Internet of Things

Farooqi, Norah; Alshehri, Shroug S.; Nollily, Sahar; Najmi, Lama; Alqurashi, Ghaidaa; Al-Rashedi, Abeer

doi:10.1109/itt48889.2019.9075113

Cited by 22 publications

(3 citation statements)

References 8 publications

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“…The catalogue system does not require a "user sign in" to access the information. The users of the system are classified into two types, that is administrator and common users [18]. An administrator is authenticated to have the whole access to the system, so that it can perform the CRUD (Create, Read, Update, and Delete) transaction in the system [19].…”

Section: A Requirement Analysismentioning

confidence: 99%

The Development of UMS Building Catalogue Information System

2022

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Universitas Muhammadiyah Surakarta (UMS) as one of the biggest private university in Indonesia has a large number of new students per year. However, most new students often get confused to identify and even do not know the location of the buildings that handle various activities in the early period of lectures, such as student orientation, English pre-tests, etc. This is due to lack of information provided by the university to the new enrolled students. To overcome this problem, this work aims to develop a web-based building catalogue by implementing a framework, namely Ionic. This system is built to help the new students getting the building-related information in UMS and find out the location of the building. By following the waterfall model to build the system, the results show that we have successfully developed the building catalogue information system. The main page of the information system displays a list of buildings that are within the scope of UMS, starting from Building A to Building L completed with photos and detailed information about the building. The system is helpful for new students to get the information of all buildings in UMS.

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Section: A Requirement Analysismentioning

confidence: 99%

The Development of UMS Building Catalogue Information System

2022

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“…Finally, a classifier is used to classify the occupancy status. Such a system brings the benefits of saving fuel time, as car cruising while waiting for an empty lot is reduced, improving the traffic flow in the car park [75,76]. Furthermore, conflicts between drivers over the rights to the parking lot can be reduced [77].…”

Section: Moving Outmentioning

confidence: 99%

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Chan

Chin

2021

Electronics

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With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first covers enabling technology involving a vehicle moving out of parking, traveling on the road, and parking at the destination. The development of autonomous vehicles relies on the data collected for deployment in actual road conditions. Research gaps and recommendations for autonomous intelligent vehicles are included. For example, a sudden obstacle while the autonomous vehicle executes the parking trajectory on the road is discussed. Several aspects of social problems, such as the liability of an accident affecting the autonomous vehicle, are described. A smart device to detect abnormal driving behaviors to prevent possible accidents is briefly discussed.

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“…This not only makes driving more automated and convenient, but also greatly reduces the time needed for entering and exiting the traditional parking lot. In addition, with the concept of the Artificial Internet of Things (AIoT), the system can provide multiple advanced functionalities, including parking searching, reservation, payment, notifications, statistics, monitoring, and even context awareness [3]. Another direction for developing advanced functionalities is via the cloud.…”

Section: Introductionmentioning

confidence: 99%

Smart Parking System Based on Edge-Cloud-Dew Computing Architecture

2023

Electronics

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In a smart parking system, the license plate recognition service controls the car’s entry and exit and plays the core role in the parking lot system. When the Internet is interrupted, the parking lot’s business will also be interrupted. Hence, we proposed an Edge-Cloud-Dew architecture for the mobile industry in order to tackle this critical problem. The architecture has an innovative design, including LAN-level deployment, Platform-as-a-Dew Service (PaaDS), the dew version of license plate recognition, and the dew type of machine learning model training. Based on these designs, the architecture presents many benefits, such as: (1) reduced maintenance and deployment issues and increased dew service reliability and sustainability; (2) effective release of the network constraint on cloud computing and increase in the horizontal and vertical scalability of the system; (3) enhancement of dew computing to resolve the heavy computing process problem; and (4) proposal of a dew type of machine learning training mechanism without requiring periodic retraining, but with acceptable accuracy. Finally, business owners can reduce their burdens when introducing machine learning technology. Our research goal is to make parking systems smarter in edge computing through the integration of cloud and dew architecture technology.

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UParking: Developing a Smart Parking Management System Using the Internet of Things

Cited by 22 publications

References 8 publications

The Development of UMS Building Catalogue Information System

The Development of UMS Building Catalogue Information System

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Smart Parking System Based on Edge-Cloud-Dew Computing Architecture

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