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Sensors 2012, 12(11), 14612-14629; doi:10.3390/s121114612
Article

iParking: An Intelligent Indoor Location-Based Smartphone Parking Service

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Received: 3 September 2012; in revised form: 23 October 2012 / Accepted: 24 October 2012 / Published: 31 October 2012
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Abstract: 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.
Keywords: multi-sensor fusion; indoor LBS; intelligent parking systems; autonomous navigation; connected car; smartphone intelligent services multi-sensor fusion; indoor LBS; intelligent parking systems; autonomous navigation; connected car; smartphone intelligent services
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Liu, J.; Chen, R.; Chen, Y.; Pei, L.; Chen, L. iParking: An Intelligent Indoor Location-Based Smartphone Parking Service. Sensors 2012, 12, 14612-14629.

AMA Style

Liu J, Chen R, Chen Y, Pei L, Chen L. iParking: An Intelligent Indoor Location-Based Smartphone Parking Service. Sensors. 2012; 12(11):14612-14629.

Chicago/Turabian Style

Liu, Jingbin; Chen, Ruizhi; Chen, Yuwei; Pei, Ling; Chen, Liang. 2012. "iParking: An Intelligent Indoor Location-Based Smartphone Parking Service." Sensors 12, no. 11: 14612-14629.



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