A survey of IoT-based smart parking systems in smart cities

Assim, Marwa; Al-Omary, Alauddin

doi:10.1049/icp.2021.0911

Cited by 12 publications

(5 citation statements)

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“…• Fuel and time savings [261] • Reduced traffic jams [261] • Lower carbon footprint [261] • Higher safety and security [261] • Cost, implementation challenges [262] • Maintenance and GPS accuracy ratios [262] • Interoperability issues [263] • Lack of trust [262] Smart Building…”

Section: Category Benefits Challengesmentioning

confidence: 99%

A Review of IoT-Based Smart City Development and Management

Zaman,

Puryear,

Abdelwahed

et al. 2024

Smart Cities

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Smart city initiatives aim to enhance urban domains such as healthcare, transportation, energy, education, environment, and logistics by leveraging advanced information and communication technologies, particularly the Internet of Things (IoT). While IoT integration offers significant benefits, it also introduces unique challenges. This paper provides a comprehensive review of IoT-based management in smart cities. It includes a discussion of a generalized architecture for IoT in smart cities, evaluates various metrics to assess the success of smart city projects, explores standards pertinent to these initiatives, and delves into the challenges encountered in implementing smart cities. Furthermore, the paper examines real-world applications of IoT in urban management, highlighting their advantages, practical impacts, and associated challenges. The research methodology involves addressing six key questions to explore IoT architecture, impacts on efficiency and sustainability, insights from global examples, critical standards, success metrics, and major deployment challenges. These findings offer valuable guidance for practitioners and policymakers in developing effective and sustainable smart city initiatives. The study significantly contributes to academia by enhancing knowledge, offering practical insights, and highlighting the importance of interdisciplinary research for urban innovation and sustainability, guiding future initiatives towards more effective smart city solutions.

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Section: Category Benefits Challengesmentioning

confidence: 99%

A Review of IoT-Based Smart City Development and Management

Zaman,

Puryear,

Abdelwahed

et al. 2024

Smart Cities

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“…[2] Preparation of Tools and Materials Then, determine what tools and materials are needed in this study to develop adaptive algorithms to improve the quality of vehicle license plate images based on lighting parameters. [3] System Design and Design: In the next stage, the researcher designed a prototype with a temporary design focused on serving parking service providers [7,8]. The next step is validation [4], Trials [5], and Revision [6].…”

Section: Fig1 Research Stages Workflowmentioning

confidence: 99%

Adaptive Algorithm to Improve the Image Quality of Vehicle License Plates based on Lighting Parameters

Suhartono,

Suhardi,

Angraini

2023

IOTA

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This study aims to develop an Adaptive Algorithm to Improve the Image Quality of Vehicle Number Plates Based on Lighting Parameters. The type of research used by the Author is Research and Development. This research was conducted at the Computer Engineering Laboratory for six months. This research consists of several stages, from the potential and problem stages, needs analysis, literacy studies, building prototypes, system design, and system testing. The collected datasets were taken using smartphone cameras and webcams, with 207 image datasets divided into two categories: training data and validation. The training dataset of 207 objects was 100% successful. System testing was carried out in two conditions, namely during the day and at night, for each two-wheeled and four-wheeled vehicle object. The results of adaptive algorithm testing to improve the quality of vehicle license plate images based on the light parameter experienced a change in the average MSE and PSNR values between the original image and the quality-improved image, although not too much of a difference. Based on this, it can be interpreted that the adaptive algorithm can produce better photos than before.

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“…Research [3] [7] uses sensors such as UHF, Infrared, and ultrasonic. Research [7] [8] [9] [10] applies IoT. The technology [11] is great to implement, but very expensive.…”

Section: Introductionmentioning

confidence: 99%

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

Sulistyawan,

Salim,

Abas

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Generally, many parking systems have not implemented a tracking intelligent system with the help of sensor technology and applications combined with the Internet of Things. This creates a lot of problems with the unexpected and irregular overflow of parking volumes. In overcoming the above problems, a study was made that discusses the parking tracking system design with the HC-SR04 ultrasonic sensor intelligent working system using a smartphone and an Internet of Things (IoT) based web application. This parking tracking system will use the main component, namely the ultrasonic sensor and several other components, namely the NODEMCU ESP8266. The Internet of Things will be used in this parking smart work system to provide information to parking users through a web system about the location of vacant parking slots. With this web system, users will be able to use the booking model and see which parking positions are available. The model used is a chip that is programmed and placed in each parking lot so that it can transmit digital information signals to a server that can be accessed in real-time by the user. With the planning of a parking tracking intelligent work system, it is hoped that it can help management of parking usage by users.

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A survey of IoT-based smart parking systems in smart cities

Cited by 12 publications

References 0 publications

A Review of IoT-Based Smart City Development and Management

A Review of IoT-Based Smart City Development and Management

Adaptive Algorithm to Improve the Image Quality of Vehicle License Plates based on Lighting Parameters

Parking Tracking System Using Ultrasonic Sensor HC-SR04 and NODEMCU ESP8266 Based IoT

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