-> A new crop of data collecting technology \u2014 including bike-counter totems, GPS-enabled smartphone apps and cameras that use machine learning \u2014 is enhancing more time-consuming, less accurate ways of counting people riding bikes and walking. Tech startup CTY designed Numina (https:\/\/bit.ly\/1tqvimy), a camera bike and pedestrian counter because there is not a lot of data that helps justifies complete streets infrastructure. The data counting hardware is essentially a camera mounted 15 feet up on a light pole capturing video. Software is programmed to recognize and count patterns such as a bicyclist or walker crossing the screen. Numina can also track behavior on a given piece of infrastructure \u2014 where a cyclist rides on a street, whether they choose the sidewalk over the bike lane, spots pedestrians avoid and more. Some of the most exciting data is coming from companies such as Strava (https:\/\/bit.ly\/1WNyrcp) and MapMyRide (https:\/\/bit.ly\/1XWTGcC), which track routes via GPS units and smartphone apps, provide actual behavior, and can provide demographic data about users. https:\/\/bit.ly\/24x0Fr1
\nfrom CenterLines, the e-newsletter of the National Center for Bicycling & Walking.<\/p>\n","protected":false},"excerpt":{"rendered":"
-> A new crop of data collecting technology \u2014 including bike-counter totems, GPS-enabled smartphone apps and cameras that use machine learning \u2014 is enhancing more time-consuming, less accurate ways of counting people riding bikes and walking. Tech startup CTY designed Numina (https:\/\/bit.ly\/1tqvimy), a camera bike and pedestrian counter because there is not a lot of … <\/p>\n