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一种用于城市地区的智能停车管理系统。

An Intelligent Parking Management System for Urban Areas.

作者信息

Vera-Gómez Juan A, Quesada-Arencibia Alexis, García Carmelo R, Suárez Moreno Raúl, Guerra Hernández Fernando

机构信息

Edosoft Factory, S.L. Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35011, Spain.

Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35017, Spain.

出版信息

Sensors (Basel). 2016 Jun 21;16(6):931. doi: 10.3390/s16060931.

DOI:10.3390/s16060931
PMID:27338397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4934356/
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.

摘要

在本文中,我们描述了一种低成本、低干扰的系统,用于高效管理公共道路和管制区域的停车位。该系统基于部署在进出这些区域的道路上的光电传感器无线网络。传感器检测这些道路上车辆的通行情况,并将此信息传达给数据中心,从而能够实时了解管制区域内的车辆数量和占用水平。此信息可传达给驾驶员,以方便他们寻找停车位,并传达给当局,以便当局在检测到拥堵时采取措施控制交通。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/781361ee1f4d/sensors-16-00931-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/781361ee1f4d/sensors-16-00931-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/d6abd783b05d/sensors-16-00931-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/7891d4615ffc/sensors-16-00931-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/08aede389188/sensors-16-00931-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/b35133838ffa/sensors-16-00931-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/60cc7c456bbe/sensors-16-00931-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd6d/4934356/781361ee1f4d/sensors-16-00931-g011.jpg

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本文引用的文献

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On the Design of Smart Parking Networks in the Smart Cities: An Optimal Sensor Placement Model.智能城市中智能停车网络的设计:一种最优传感器布局模型。
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iParking: an intelligent indoor location-based smartphone parking service.智能泊车:基于室内位置的智能手机智能泊车服务。
Sensors (Basel). 2012 Oct 31;12(11):14612-29. doi: 10.3390/s121114612.
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S3: school zone safety system based on wireless sensor network.S3:基于无线传感器网络的校园区域安全系统。
Sensors (Basel). 2009;9(8):5968-88. doi: 10.3390/s90805968. Epub 2009 Jul 28.
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Exposure to traffic and the onset of myocardial infarction.暴露于交通环境与心肌梗死的发病
N Engl J Med. 2004 Oct 21;351(17):1721-30. doi: 10.1056/NEJMoa040203.