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A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring

Sustainable mobility requires a better management of the available infrastructure resources. To achieve this goal, it is necessary to obtain accurate data about road usage, in particular in urban areas. Although a variety of sensor alternates for urban traffic exist, they usually require extensive i...

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Detalles Bibliográficos
Autores principales: Fernández-Lozano, J.J., Martín-Guzmán, Miguel, Martín-Ávila, Juan, García-Cerezo, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634435/
https://www.ncbi.nlm.nih.gov/pubmed/26501278
http://dx.doi.org/10.3390/s151026143
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author Fernández-Lozano, J.J.
Martín-Guzmán, Miguel
Martín-Ávila, Juan
García-Cerezo, A.
author_facet Fernández-Lozano, J.J.
Martín-Guzmán, Miguel
Martín-Ávila, Juan
García-Cerezo, A.
author_sort Fernández-Lozano, J.J.
collection PubMed
description Sustainable mobility requires a better management of the available infrastructure resources. To achieve this goal, it is necessary to obtain accurate data about road usage, in particular in urban areas. Although a variety of sensor alternates for urban traffic exist, they usually require extensive investments in the form of construction works for installation, processing means, etc. Wireless Sensor Networks (WSN) are an alternative to acquire urban traffic data, allowing for flexible, easy deployment. Together with the use of the appropriate sensors, like Bluetooth identification, and associate processing, WSN can provide the means to obtain in real time data like the origin-destination matrix, a key tool for trend monitoring which previously required weeks or months to be completed. This paper presents a system based on WSN designed to characterize urban traffic, particularly traffic trend monitoring through the calculation of the origin-destination matrix in real time by using Bluetooth identification. Additional sensors are also available integrated in different types of nodes. Experiments in real conditions have been performed, both for separate sensors (Bluetooth, ultrasound and laser), and for the whole system, showing the feasibility of this approach.
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spelling pubmed-46344352015-11-23 A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring Fernández-Lozano, J.J. Martín-Guzmán, Miguel Martín-Ávila, Juan García-Cerezo, A. Sensors (Basel) Article Sustainable mobility requires a better management of the available infrastructure resources. To achieve this goal, it is necessary to obtain accurate data about road usage, in particular in urban areas. Although a variety of sensor alternates for urban traffic exist, they usually require extensive investments in the form of construction works for installation, processing means, etc. Wireless Sensor Networks (WSN) are an alternative to acquire urban traffic data, allowing for flexible, easy deployment. Together with the use of the appropriate sensors, like Bluetooth identification, and associate processing, WSN can provide the means to obtain in real time data like the origin-destination matrix, a key tool for trend monitoring which previously required weeks or months to be completed. This paper presents a system based on WSN designed to characterize urban traffic, particularly traffic trend monitoring through the calculation of the origin-destination matrix in real time by using Bluetooth identification. Additional sensors are also available integrated in different types of nodes. Experiments in real conditions have been performed, both for separate sensors (Bluetooth, ultrasound and laser), and for the whole system, showing the feasibility of this approach. MDPI 2015-10-15 /pmc/articles/PMC4634435/ /pubmed/26501278 http://dx.doi.org/10.3390/s151026143 Text en © 2015 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/4.0/).
spellingShingle Article
Fernández-Lozano, J.J.
Martín-Guzmán, Miguel
Martín-Ávila, Juan
García-Cerezo, A.
A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title_full A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title_fullStr A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title_full_unstemmed A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title_short A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring
title_sort wireless sensor network for urban traffic characterization and trend monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634435/
https://www.ncbi.nlm.nih.gov/pubmed/26501278
http://dx.doi.org/10.3390/s151026143
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