A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength
Road traffic and its impacts affect various aspects of wellbeing with safety, congestion and pollution being of significant concern in cities. Although there have been a large number of works done in the field of traffic data collection, there are several barriers which restrict the collection of tr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/11/3623 |
| _version_ | 1818033407007916032 |
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| author | Shivam Gupta Albert Hamzin Auriol Degbelo |
| author_facet | Shivam Gupta Albert Hamzin Auriol Degbelo |
| author_sort | Shivam Gupta |
| collection | DOAJ |
| description | Road traffic and its impacts affect various aspects of wellbeing with safety, congestion and pollution being of significant concern in cities. Although there have been a large number of works done in the field of traffic data collection, there are several barriers which restrict the collection of traffic data at higher resolution in the cities. Installation and maintenance costs can act as a disincentive to use existing methods (e.g., loop detectors, video analysis) at a large scale and hence limit their deployment to only a few roads of the city. This paper presents an approach for vehicle counting using a low cost, simple and easily installable system. In the proposed system, vehicles (i.e., bicycles, cars, trucks) are counted by means of variations in the WiFi signals. Experiments with the developed hardware in two different scenarios—low traffic (i.e., 400 objects) and heavy traffic roads (i.e., 1000 objects)—demonstrate its ability to detect cars and trucks. The system can be used to provide estimates of vehicle numbers for streets not covered by official traffic monitoring techniques in future smart cities. |
| first_indexed | 2024-12-10T06:22:46Z |
| format | Article |
| id | doaj.art-073409ab69bd4cfa9333dcc71906b591 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T06:22:46Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-073409ab69bd4cfa9333dcc71906b5912022-12-22T01:59:18ZengMDPI AGSensors1424-82202018-10-011811362310.3390/s18113623s18113623A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal StrengthShivam Gupta0Albert Hamzin1Auriol Degbelo2Institute For Geoinformatics, Westfälische Wilhelms-Universität, 48149 Münster, GermanyInstitute For Geoinformatics, Westfälische Wilhelms-Universität, 48149 Münster, GermanyInstitute For Geoinformatics, Westfälische Wilhelms-Universität, 48149 Münster, GermanyRoad traffic and its impacts affect various aspects of wellbeing with safety, congestion and pollution being of significant concern in cities. Although there have been a large number of works done in the field of traffic data collection, there are several barriers which restrict the collection of traffic data at higher resolution in the cities. Installation and maintenance costs can act as a disincentive to use existing methods (e.g., loop detectors, video analysis) at a large scale and hence limit their deployment to only a few roads of the city. This paper presents an approach for vehicle counting using a low cost, simple and easily installable system. In the proposed system, vehicles (i.e., bicycles, cars, trucks) are counted by means of variations in the WiFi signals. Experiments with the developed hardware in two different scenarios—low traffic (i.e., 400 objects) and heavy traffic roads (i.e., 1000 objects)—demonstrate its ability to detect cars and trucks. The system can be used to provide estimates of vehicle numbers for streets not covered by official traffic monitoring techniques in future smart cities.https://www.mdpi.com/1424-8220/18/11/3623traffic counterWiFi signalsopen hardwaretraffic monitoringlow cost sensorssmart cities |
| spellingShingle | Shivam Gupta Albert Hamzin Auriol Degbelo A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength Sensors traffic counter WiFi signals open hardware traffic monitoring low cost sensors smart cities |
| title | A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength |
| title_full | A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength |
| title_fullStr | A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength |
| title_full_unstemmed | A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength |
| title_short | A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength |
| title_sort | low cost open hardware system for collecting traffic data using wi fi signal strength |
| topic | traffic counter WiFi signals open hardware traffic monitoring low cost sensors smart cities |
| url | https://www.mdpi.com/1424-8220/18/11/3623 |
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