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Sensors 2016, 16(6), 931; doi:10.3390/s16060931

An Intelligent Parking Management System for Urban Areas

1
Edosoft Factory, S.L. Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35011, Spain
2
Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35017, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 28 April 2016 / Revised: 14 June 2016 / Accepted: 15 June 2016 / Published: 21 June 2016
(This article belongs to the Special Issue Selected Papers from UCAmI, IWAAL and AmIHEALTH 2015)
View Full-Text   |   Download PDF [4585 KB, uploaded 21 June 2016]   |  

Abstract

In this article we describe a low-cost, minimally-intrusive system for the efficient management of parking spaces on both public roads and controlled zones. This system is based on wireless networks of photoelectric sensors that are deployed on the access roads into and out of these areas. The sensors detect the passage of vehicles on these roads and communicate this information to a data centre, thus making it possible to know the number of vehicles in the controlled zone and the occupancy levels in real-time. This information may be communicated to drivers to facilitate their search for a parking space and to authorities so that they may take steps to control traffic when congestion is detected. View Full-Text
Keywords: intelligent transport systems; parking; wireless sensor network (WSN); traffic; sensor; infrared intelligent transport systems; parking; wireless sensor network (WSN); traffic; sensor; infrared
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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. (CC BY 4.0).

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MDPI and ACS Style

Vera-Gómez, J.A.; Quesada-Arencibia, A.; García, C.R.; Suárez Moreno, R.; Guerra Hernández, F. An Intelligent Parking Management System for Urban Areas. Sensors 2016, 16, 931.

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