{"id":"W3209494318","doi":"10.1155/2021/4764174","title":"A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":3,"is_retracted":true,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Intersection (aeronautics); Traffic flow (computer networking); Cluster analysis; Trajectory; Data collection; Traffic congestion; Matching (statistics); Floating car data; Real-time computing; Data mining; Artificial intelligence; Transport engineering; Computer network; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":{"nature":"Retraction","reason":"Compromised Peer Review;Investigation by Journal/Publisher;Investigation by Third Party;Paper Mill;Unreliable Results and/or Conclusions;","date":"12/13/2023 0:00","openalex_flagged":true},"screen":null}