Traffic safety and traffic congestion represent one of the biggest problems in modern cities, and
\nimproving these is a major promise of smart cities of the future. Microsoft collaborated with the
\nCity of Bellevue to use video camera feeds for traffic video analytics. The partnership\u2019s vision was
\nto use the widely deployed traffic camera feeds for traffic analytics on road users as opposed to
\ntraditional mechanical or manual approaches. A primary objective of the partnership was to
\nevaluate if video analytics can produce accurate outputs on live video feeds to produce
\nactionable insights to inform Vision Zero strategies. Bellevue is committed to implementing a
\nVision Zero Action Plan, with the goal of zero traffic deaths and serious injuries by 2030.
\nThe Microsoft team developed a video analytics platform that analyzed videos to produce
\ndirectional counts of traffic users (vehicles, bicycles, etc.). The results were aggregated into a
\nvideo analytics dashboard, that was deployed at the City of Bellevue\u2019s Traffic Management
\nCenter from Jul 2017 to Nov 2018, and produced live alerts on abnormal traffic volumes. The
\ndashboard also helped Bellevue transportation planners understand traffic patterns over long
\nperiods of time. For example, it provided the perspective on vehicle and bicycle patterns, prior
\nto and after construction of a dedicated bicycle lane on 108th Avenue. Finally, the video analytics
\nsystem\u2018s insights on directional volumes and unusual traffic patterns provided an additional tool
\nfor real-time traffic operations in the Bellevue Traffic Management Center.<\/p>\n","protected":false},"excerpt":{"rendered":"
Traffic safety and traffic congestion represent one of the biggest problems in modern cities, and improving these is a major promise of smart cities of the future. Microsoft collaborated with the City of Bellevue to use video camera feeds for traffic video analytics. The partnership\u2019s vision was to use the widely deployed traffic camera feeds […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13562,13547],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-630531","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-12-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-1970-3","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"Microsoft and City of Bellevue","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/bellevuewa.gov\/sites\/default\/files\/media\/pdf_document\/2020\/Video%20Analytics%20Towards%20Vision%20Zero-Traffic%20Video%20Analytics-12262019.pdf","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"user_nicename","value":"Ganesh Ananthanarayanan","user_id":31834,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ganesh Ananthanarayanan"},{"type":"user_nicename","value":"Victor Bahl","user_id":31167,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Victor Bahl"},{"type":"user_nicename","value":"Yuanchao Shu","user_id":35079,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Yuanchao Shu"},{"type":"text","value":"Franz Loewenherz","user_id":0,"rest_url":false},{"type":"text","value":"Daniel Lai","user_id":0,"rest_url":false},{"type":"text","value":"Darcy Akers","user_id":0,"rest_url":false},{"type":"text","value":"Peiwei Cao","user_id":0,"rest_url":false},{"type":"text","value":"Fan Xia","user_id":0,"rest_url":false},{"type":"text","value":"Jiangbo Zhang","user_id":0,"rest_url":false},{"type":"text","value":"Ashley Song","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144899],"msr_project":[382664,212082],"publication":[],"video":[],"download":[],"msr_publication_type":"techreport","related_content":{"projects":[{"ID":382664,"post_title":"Microsoft Rocket for Live Video Analytics","post_name":"live-video-analytics","post_type":"msr-project","post_date":"2017-05-15 08:28:48","post_modified":"2020-11-22 08:59:49","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/live-video-analytics\/","post_excerpt":"Project Rocket's goal is to democratize video analytics: build a system for real-time, low-cost, accurate analysis of live videos. 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