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Sensors 2018, 18(11), 3623; https://doi.org/10.3390/s18113623

A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength

Institute For Geoinformatics, Westfälische Wilhelms-Universität, 48149 Münster, Germany
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Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 28 August 2018 / Revised: 18 October 2018 / Accepted: 22 October 2018 / Published: 25 October 2018
(This article belongs to the Special Issue Smart Cities)
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Abstract

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. View Full-Text
Keywords: traffic counter; WiFi signals; open hardware; traffic monitoring; low cost sensors; smart cities traffic counter; WiFi signals; open hardware; traffic monitoring; low cost sensors; smart cities
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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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Gupta, S.; Hamzin, A.; Degbelo, A. A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength. Sensors 2018, 18, 3623.

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