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iParking: An Intelligent Indoor Location-Based Smartphone Parking Service

Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indo...

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Detalles Bibliográficos
Autores principales: Liu, Jingbin, Chen, Ruizhi, Chen, Yuwei, Pei, Ling, Chen, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522932/
https://www.ncbi.nlm.nih.gov/pubmed/23202179
http://dx.doi.org/10.3390/s121114612
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author Liu, Jingbin
Chen, Ruizhi
Chen, Yuwei
Pei, Ling
Chen, Liang
author_facet Liu, Jingbin
Chen, Ruizhi
Chen, Yuwei
Pei, Ling
Chen, Liang
author_sort Liu, Jingbin
collection PubMed
description Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indoor locations, this study presents the development of a novel intelligent parking service called iParking. With the iParking service, multiple parties such as users, parking facilities and service providers are connected through Internet in a distributed architecture. The client software is a light-weight application running on a smartphone, and it works essentially based on a precise indoor positioning solution, which fuses Wireless Local Area Network (WLAN) signals and the measurements of the built-in sensors of the smartphones. The positioning accuracy, availability and reliability of the proposed positioning solution are adequate for facilitating the novel parking service. An iParking prototype has been developed and demonstrated in a real parking environment at a shopping mall. The demonstration showed how the iParking service could improve the parking experience and increase the efficiency of parking facilities. The iParking is a novel service in terms of cost- and energy-efficient solution.
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spelling pubmed-35229322013-01-09 iParking: An Intelligent Indoor Location-Based Smartphone Parking Service Liu, Jingbin Chen, Ruizhi Chen, Yuwei Pei, Ling Chen, Liang Sensors (Basel) Article Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indoor locations, this study presents the development of a novel intelligent parking service called iParking. With the iParking service, multiple parties such as users, parking facilities and service providers are connected through Internet in a distributed architecture. The client software is a light-weight application running on a smartphone, and it works essentially based on a precise indoor positioning solution, which fuses Wireless Local Area Network (WLAN) signals and the measurements of the built-in sensors of the smartphones. The positioning accuracy, availability and reliability of the proposed positioning solution are adequate for facilitating the novel parking service. An iParking prototype has been developed and demonstrated in a real parking environment at a shopping mall. The demonstration showed how the iParking service could improve the parking experience and increase the efficiency of parking facilities. The iParking is a novel service in terms of cost- and energy-efficient solution. Molecular Diversity Preservation International (MDPI) 2012-10-31 /pmc/articles/PMC3522932/ /pubmed/23202179 http://dx.doi.org/10.3390/s121114612 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Liu, Jingbin
Chen, Ruizhi
Chen, Yuwei
Pei, Ling
Chen, Liang
iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title_full iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title_fullStr iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title_full_unstemmed iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title_short iParking: An Intelligent Indoor Location-Based Smartphone Parking Service
title_sort iparking: an intelligent indoor location-based smartphone parking service
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522932/
https://www.ncbi.nlm.nih.gov/pubmed/23202179
http://dx.doi.org/10.3390/s121114612
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