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Sensors 2015, 15(10), 26143-26169; doi:10.3390/s151026143

A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring

Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Calle Dr. Ortiz Ramos, s/n, Campus de Teatinos, 29071, Málaga, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 30 July 2015 / Revised: 7 October 2015 / Accepted: 9 October 2015 / Published: 15 October 2015
(This article belongs to the Section Sensor Networks)

Abstract

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. View Full-Text
Keywords: wireless sensor network; traffic monitoring; sustainable mobility wireless sensor network; traffic monitoring; sustainable mobility
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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

Fernández-Lozano, J.; Martín-Guzmán, M.; Martín-Ávila, J.; García-Cerezo, A. A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring. Sensors 2015, 15, 26143-26169.

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