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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/10/26143 |
| _version_ | 1811302392198594560 |
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| author | J.J. Fernández-Lozano Miguel Martín-Guzmán Juan Martín-Ávila A. García-Cerezo |
| author_facet | J.J. Fernández-Lozano Miguel Martín-Guzmán Juan Martín-Ávila A. García-Cerezo |
| author_sort | J.J. Fernández-Lozano |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T07:28:27Z |
| format | Article |
| id | doaj.art-c486892fa11b40ec9909e50915703bbb |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:28:27Z |
| publishDate | 2015-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c486892fa11b40ec9909e50915703bbb2022-12-22T02:56:26ZengMDPI AGSensors1424-82202015-10-011510261432616910.3390/s151026143s151026143A Wireless Sensor Network for Urban Traffic Characterization and Trend MonitoringJ.J. Fernández-Lozano0Miguel Martín-Guzmán1Juan Martín-Ávila2A. García-Cerezo3Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Calle Dr. Ortiz Ramos, s/n, Campus de Teatinos, 29071, Málaga, SpainDepartamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Calle Dr. Ortiz Ramos, s/n, Campus de Teatinos, 29071, Málaga, SpainDepartamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Calle Dr. Ortiz Ramos, s/n, Campus de Teatinos, 29071, Málaga, SpainDepartamento de Ingeniería de Sistemas y Automática, Universidad de Málaga, Calle Dr. Ortiz Ramos, s/n, Campus de Teatinos, 29071, Málaga, SpainSustainable 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.http://www.mdpi.com/1424-8220/15/10/26143wireless sensor networktraffic monitoringsustainable mobility |
| spellingShingle | J.J. Fernández-Lozano Miguel Martín-Guzmán Juan Martín-Ávila A. García-Cerezo A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring Sensors wireless sensor network traffic monitoring sustainable mobility |
| 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 | wireless sensor network traffic monitoring sustainable mobility |
| url | http://www.mdpi.com/1424-8220/15/10/26143 |
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