Smart parking system for vehicles

Adhatarao, Sripriya Srikant; Alfandi, Omar; Bochem, Arne; Hogrefe, Dieter

doi:10.1109/vnc.2014.7013341

Cited by 10 publications

(7 citation statements)

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“…SPS: 83 Adhatarao et al presented a smart parking system based on IRIS WSN motes, sensor light, and base station. The purpose of the system is to assist the drivers to find a free parking slot, record the time duration and the auto payment deduction.…”

Section: Prominent Smart Parking Systemsmentioning

confidence: 99%

A survey on smart parking systems in urban cities

Zulfiqar

Haque

Tariq

et al. 2021

Concurrency and Computation

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Summary Parking vehicles in densely populated areas are often challenging, stressful, and sometimes it becomes a monotonous job for the drivers in jam‐packed areas. There are several reasons for the delay in finding parking spaces such as scarcity of parking slots, disordered or unmanaged parking of vehicles, lacking or unaware of parking information at the destination, which further leads to the wastage of time, fuel, energy and increase in environmental pollution. Literature has revealed a significant number of smart parking solutions based on the Internet of Things (IoT) and context‐awareness with the incorporation of routing strategies and vehicle detection techniques in a pervasive computing environment. With the rapid escalation of the smart and intelligent devices along with their applicability in a highly decentralized environment, real‐time traffic monitoring, and finding parking spaces have become quite trivial. Smart parking sensors and technologies assist drivers in finding vacant parking slots while they are on the way to their destination. Considering the needs, wants, and demands of metropolitan cities, in this article, we have reviewed the recently published articles, mostly from the last 5 years, on smart parking systems augmented with sensors, embedded systems, context‐awareness capability, and IoT which yields in saving time, fuel, energy, and reduces the stress of the drivers. To accomplish this, we have reviewed different models on smart parking solutions based on algorithmic formalisms, theoretical frameworks, formal models, smart device‐based prototypes as well as real‐time applications, and verifying the correctness properties of the system. The results shown may provide a base for the state of the art future research directions.

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Section: Prominent Smart Parking Systemsmentioning

confidence: 99%

A survey on smart parking systems in urban cities

Zulfiqar

Haque

Tariq

et al. 2021

Concurrency and Computation

View full text Add to dashboard Cite

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“…III. RELATED WORK Parking is the key feature of transportation, if the parking lot lacks anything; it can shake up everyday life [4]. Many techniques are invented to overwhelm this critical issue.…”

Section: Technology Innovation In Automobile Servicesmentioning

confidence: 99%

Cloud of Things (CoT) based Parking Prediction

Razzaq¹,

Subih²,

Khatoon³

et al. 2020

IJACSA

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Cloud computing with an amalgamation of the internet of things (IoT) typically gave birth to an ideal field called Cloud of things (CoT). CoT maintains revolutionary services in every domain, but it has instantly become a rising star in smart transportation because a well-organized facility might present a challenge for dealing with the exponentially expanding people living in smart cities. Lack of management in transport can cause distress among people and nowadays parking has come to be one of the critical issues faced by the public daily. In this paper, we present a parking availability prediction model implemented within a geo-fence ranging from 100-150 meters based on cloud, IoT, and GIS. In contrast to present models, instead of offering no space or parking is full; our model accurately determines the ETA of a vehicle and checks the potential/chance of parking availability. It also calculates the time for the next parking space if the existing parking space accessibility is zero. Moreover, our model includes all the exogenous factors like weather, time zone conditions to gain prediction accuracy.

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“…Literature has revealed numerous smart parking techniques for the ubiquitous environment. In the work of Adhatarao et al, 29 the authors have proposed a smart parking framework that senses the vehicle at the entry node and generates parking ID to broadcast over the network. When the vehicle reaches the parking slot, the parking slot sensor detects the presence of a vehicle and then the system assigns the ID generated at the entry node to the vehicle parking ID.…”

Section: Related Workmentioning

confidence: 99%

A context‐aware framework for modelling and verification of smart parking systems in urban cities

Haque

Zulfiqar

Ahmed

et al. 2019

Concurrency and Computation

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Parking spaces have been considered as vital resources in urban areas. Finding parking spaces in jam-packed areas is often challenging, stressful, and uncertain for the drivers that causes traffic congestion with a consequent of wastage of time, fuel, and increase of pollution. In recent years, context-aware computing paradigm has been considered to be the most effective approach to address these kinds of issues. Context-aware systems acquire and understand contextual information according to the current situation, perform reasoning, and then act intelligently on behalf of the user. These applications often run on tiny resource-bounded smart devices with the incorporation of embedded or attached sensors on these devices and they often exhibit complex and adaptive behaviour. In this paper, we propose a context-aware parking application framework to assist drivers in finding parking slots dynamically while moving and/or arriving at the destination. We optimize the context-aware parking framework with bounds on computational resources for the decision support dynamically in a highly decentralized environment. To illustrate the use of the proposed system, we model the context-aware parking system using UPPAAL model checker for formal analysis and verify the correctness properties of the system.

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Smart parking system for vehicles

Cited by 10 publications

References 0 publications

A survey on smart parking systems in urban cities

A survey on smart parking systems in urban cities

Cloud of Things (CoT) based Parking Prediction

A context‐aware framework for modelling and verification of smart parking systems in urban cities

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