IoT Based Cost Effective Car Parking Management for Urban Area

Peyal, Md. Mahmudul Kabir; Barman, Anirudha; Tahiat, Tashfia; Haque, Quazi Md. Ahnaf Ul; Bal, Anindya; Ahmed, Sharif

doi:10.1109/isamsr53229.2021.9567826

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…is research also supports Kabir et al [32] and Peyal et al [33] from Bangladesh that a megacity like Dhaka city requires a cost-effective parking solution. Income earning opportunities for car park owners, sophisticated car parking opportunities for car owners, and improved city car parking systems are some compliments highlighted of social capital utilization in this research.…”

Section: Practical and National Implicationssupporting

confidence: 81%

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Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App

Ahad

Song

et al. 2022

Mobile Information Systems

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The mobile car parking (MCP) app provides users to locate a car park and park his/her car, which is expected to contribute to sustainable transportation. Previous mobile phone-based studies have also advocated that mobile apps create a social network among the users. However, MCP studies have yet not addressed the notion of such social capital which is expected to contribute to the sustainable transportation in a city. MCP, in fact, can also create a communication network among car owners, drivers, and car park owners and offer a unique base for studying social capital and resource utilization opportunities. To reduce the gap in existing studies, in this study, an android-based MCP app was developed as a tool to study the components of social capital. After developing the MCP app, two focus group studies were conducted to explore the components an MCP app can provide. Lastly, we linked the social capital components to the sustainable transportation goals. This research pinpointed several social capital components that are addressable to sustainable transportation, including information exchange, communication, connectedness, time-saving capabilities, mobility, coordination, plan-based journeys, and an opportunity to generate income from the social network. Moreover, very few studies have reported that social capital empirically contributes to time-saving capabilities, mobility, sustainable transportation through improved coordination in car parking management, and improved journey based on car parking decisions which are new contributions to social capital. This research is significant, as most of the mobile-based social capital research concentrated on bonding, bridging, and networking among social network members. However, this research has expanded the components of social capital in many directions. Furthermore, from the research methodological perspective, this research adopts a new approach through a combination of experimental research and focus group study.

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Section: Practical and National Implicationssupporting

confidence: 81%

“…e system offers automatic parking lot allocation, position monitoring, parking management, real-time invoice creation, and a payment system. Another IoT-based smart car parking allocation was developed by Peyal et al [33] for metropolitan areas. e system links the photoresistors to a mobile app for data transmission.…”

Section: Mobile Parking App Studiesmentioning

confidence: 99%

Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App

Ahad

Song

et al. 2022

Mobile Information Systems

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“…Peyal et al in (19) proposed a smart car parking system in urban areas with the help of IoT. The main focus is to reduce traffic congestion and make parking easy for users.…”

mentioning

confidence: 99%

“…Table 1 shows the comparative analysis of various state-ofthe-art parking price prediction schemes with the PADaaV PADaaV with or without blockchain. Some of the solutions in (15) (16) (17) (19) given by the researchers are only focusing on enhancing the security of the system. Still, there is no emphasis on optimizing the parking prices for users, profit for vehicle owners, cost-efficiency, scalability, and computation time.…”

mentioning

confidence: 99%

PADaaV: Blockchain-Based Parking Price Prediction Scheme for Sustainable Traffic Management

et al. 2022

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In most countries, traffic congestion has reached a level where managing traffic is tedious for regulatory bodies. The traffic management faced many issues such as route routing based on congestion, delivery of messages/emails to end-users, and real-time allocation of parking slots. There have been many works on predicting parking prices for traffic management, but most favor users or owners and are not secure. To address these issues, a blockchain and Interplanetary File System (IPFS)-based parking price prediction scheme (PADaaV) is proposed to facilitate the users to reserve a parking slot securely and efficiently. It mainly focuses on ensuring security, privacy, and transparency for parking slot owners and users. Furthermore, we employ a second price auction model to optimize the parking price for users, and parking slot owners can also get benefit from it. The performance of the PADaaV has been simulated for 100 users with 40 parking slots based on different auction models. The various performance parameters considered are profit for users, profit for parking slot owners, overall revenue of the system, scalability, computation time, and data storage cost. The performance results show that the PADaaV is secure and beneficial for users and parking slot owners.

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Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective

Raj,

Shetty

2024

Int. J. Mach. Learn. & Cyber.

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IoT Based Cost Effective Car Parking Management for Urban Area

Cited by 5 publications

References 7 publications

Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App

Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App

PADaaV: Blockchain-Based Parking Price Prediction Scheme for Sustainable Traffic Management

Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective

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