DIY traffic sensor
Traffic counting sensors are an excellent example of how low cost sensors are revolutionising city planning
Just a few years ago it was very expensive to obtain traffic count information so cities were only able to collect this data for large projects. Now residents can collect relatively good traffic counts themselves and share this data. This enables them to better understand problems and identify solutions. Today there are sensors available to count cars, bikes and pedestrians.
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Tags: sensor, DIY, crowdsourcing
Categories: Logiciel, Données, Matériel
Theme: Vélo et Mobilités Actives, Données ouvertes, Traces de mobilité et des données associées, Urbanisme et ville, Collectivité
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Community of interest: Communauté autour des données ouvertes, Communauté des Territoires et Collectivités
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Level of development: Disponible mais non validé
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Documentation of the experimentations: Placemeter : Placemeter develops sensors and analytics to count all types of traffic. According to City Observatory the sensors are inexpensive and easy to use, making them ideal for use by local residents.
According to Placemeter’s About page: “Placemeter ingests any kind of video to analyze pedestrian and vehicular movement, revealing hidden patterns and strategic opportunities. Our platform leverages proprietary computer vision technology to gather data from live streams. We take privacy very seriously, designing our systems to yield useful data without identity detection.”
Waycount : The company waycount.com offers personal sized traffic counters for bikes or cars at less than $200 a unit. Software is available to easily upload traffic data to the Internet for everyone to view and analyse.
Numina : From Next City: Tech startup CTY is producing a video based sensor to count bicyclists, pedestrians and more. Their data counting hardware — called Numina — is essentially a camera mounted 15 feet up on a light pole capturing video of a piece of infrastructure. The software is programmed to recognize and count patterns such as a bicyclist or walker crossing the screen. The sensors send the aggregate data via cellular signal to CTY’s servers and erase the original images.
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