Design of a smart parking system using wireless sensor network

Quinones, Manuel; Gonazalez, Victor; Quinones, Luis; Valdivieso, Carlos; Yaguana, Willian

doi:10.1109/cisti.2015.7170430

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…The collected real-time information is used by the government to regulate traffic. Other large scale-deployment of intelligent systems include an integrated parking system in Spain [135] where each parking is equipped with sensors and occupancy information is available through an application for drivers; the AREA system in Barcelona [136] which is a road-side parking man- Based on our survey on smart parking management systems, tangible benefits of real-time parking data has been demonstrated in various applications. Understanding the long-term parking dynamics allows for a greater impact beyond operations and management, by giving cities and institutions a more granular approach in regards to the definition of spatial use overall.…”

Section: Parking Managementmentioning

confidence: 99%

Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus

Sutjarittham¹

2021

Preprint

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University campuses are essentially a microcosm of a city. They comprise diverse facilities such as residences, sport centres, lecture theatres, parking spaces, and public transport stops. Universities are under constant pressure to improve efficiencies while offering a better experience to various stakeholders including students, staff, and visitors. Nonetheless, anecdotal evidence indicates that campus assets are not being utilised efficiently, often due to the lack of data collection and analysis, thereby limiting the ability to make informed decisions on the allocation and management of resources. Advances in the Internet of Things (IoT) technologies that can sense and communicate data from the physical world, coupled with data analytics and Artificial intelligence (AI) that can predict usage patterns, have opened up new opportunities for organisations to lower cost and improve user experience. This thesis explores this opportunity via theory and experimentation using UNSW Sydney as a living laboratory.I avail this opportunity to thank all my closed friends for making my time as a Ph.D. candidate an enjoyable one. Their delightful friendship and hospitality have always mitigated my stress during this hard time. Special thank goes to Amarin Siripanich, for his love and support. v Words cannot express my gratitude to my family, especially my parents and siblings, whose unconditional love and supports have given me strength to pursue my dream. Thank you. vi

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Section: Parking Managementmentioning

confidence: 99%

Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus

Sutjarittham¹

2021

Preprint

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“…In [14], the author created a new smart parking system (SIMERT) based on the installation of two wireless sensors in each parking space to detect the presence of vehicles and to control the good parking of vehicles in the parking spaces. This system uses WSN technology composed of three types of sensors (surveillance sensor nodes, routing nodes, and a sink node) that form a cluster topology.…”

Section: Mass Protocolsmentioning

confidence: 99%

“…No guidance or navigation system is used. S10: [14] Outdoor parking, mass, no adaptable, multiarea -…”

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confidence: 99%

Designing and Managing a Smart Parking System Using Wireless Sensor Networks

Hilmani

Maizate

Hassouni

2018

JSAN

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For several years, the population of cities has continued to multiply at a rapid pace. The main cause of this phenomenon in developing countries like Morocco is the rural exodus. In fact, rural youth are increasingly attracted by the modern way of life and the opportunities of employment offered by cities. This increase in population density has a large number of negative effects on the quality of life in the city. The most obvious is the intensity of the traffic, which has become an almost insurmountable problem and which causes a great deal of damage, such as the increase in the number of accidents that cause serious bodily harm to the road users, the pollution caused by the large amount of CO 2 released by the vehicles, and the continuous stress of drivers who must drive in often narrow and very busy roads and who must look for a long time to find a space to park. Thus, to solve the parking problem, several modern technologies have been created to equip car parks with smart devices that help road users identify the nearest car park that has a free space. These technologies most often use wireless sensor networks and Internet of Things (IoT) technology. In this paper, we present the design and development of a smart parking system using the latest technologies based on wireless sensor networks (WSN). Our system uses an adaptable and hybrid self-organization algorithm for wireless sensor networks that adapts to all types of car parks existing in the city (linear and mass parking), and offers a better management of the energy consumption during the wireless communication to increase the lifetime of the sensor nodes and the longevity of the WSN. This system also offers innovative services which facilitate the task to the drivers when looking for an available parking space in the city near their destination, in a fast and efficient manner.

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P2P Network Based Smart Parking System Using Edge Computing

Zhang

Tian

et al. 2020

Mobile Netw Appl

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Design of a smart parking system using wireless sensor network

Cited by 10 publications

References 11 publications

Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus

Modelling and Optimisation of Resource Usage in an IoT Enabled Smart Campus

Designing and Managing a Smart Parking System Using Wireless Sensor Networks

P2P Network Based Smart Parking System Using Edge Computing

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