{"id":10871,"date":"2020-02-01T15:56:22","date_gmt":"2020-02-01T20:56:22","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=10871"},"modified":"2020-02-01T15:56:22","modified_gmt":"2020-02-01T20:56:22","slug":"lime-uses-sensor-data-to-keep-scooters-off-sidewalks","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/lime-uses-sensor-data-to-keep-scooters-off-sidewalks\/10871\/","title":{"rendered":"Lime Uses Sensor Data to Keep Scooters Off Sidewalks"},"content":{"rendered":"Lime is rolling out sidewalk detection Originally published in VentureBeat, January 28, 2020 While the burgeoning urban micromobility movement offers many advantages over traditional transport, the unbridled proliferation of electric bikes and scooters also comes with major downsides \u2014 such as cluttered and hazardous sidewalks. Against this backdrop, VC-backed Lime today announced a new approach to keeping riders off the sidewalk, using a mixture of sensors and an AI-based statistical model that predicts the likelihood a user was riding on the sidewalk and for how long. For the pilot initiative, Lime is partnering with San Jose, California, a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/lime-uses-sensor-data-to-keep-scooters-off-sidewalks\/10871\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in VentureBeat, January 28, 2020 While the burgeoning urban micromobility movement offers many advantages over traditional transport, the unbridled proliferation of electric bikes and scooters also comes with major downsides \u2014 such as cluttered and hazardous sidewalks. Against this backdrop, VC-backed Lime today announced a new approach to keeping riders off the sidewalk, [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,230,1066,1060,243,8,1065],"class_list":["post-10871","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-data-analytics","tag-detection-analytics","tag-machine-analytics","tag-machine-learning","tag-predictive-analytics","tag-scooters"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10871","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=10871"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10871\/revisions"}],"predecessor-version":[{"id":10874,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10871\/revisions\/10874"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=10871"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=10871"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=10871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}