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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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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. |
format | Online Article Text |
id | pubmed-4634435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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