{"id":"W3138434708","doi":"10.37394/23202.2020.19.4","title":"Real Time Intelligent Traffic Light System","year":2020,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON SYSTEMS","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Queue; MATLAB; Computer science; Traffic congestion; Real-time computing; Automotive engineering; Floating car data; Traffic signal; Traffic optimization; Intelligent transportation system; Control (management); Simulation; Transport engineering; Engineering; Computer network; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002498002,0.00041021,0.0004381686,0.0004822713,0.0004918221,0.001084409,0.0008606054,0.0004907612,0.005153767],"category_scores_gemma":[0.0004970235,0.0001318119,0.0002137983,0.0002389082,0.0001962594,0.0005423237,0.00042255,0.000380693,0.001300029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553195,"about_ca_system_score_gemma":0.0005376634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057044,"about_ca_topic_score_gemma":0.001380929,"domain_scores_codex":[0.9996235,0.00005150785,0.00001996113,0.0001081075,0.0001482521,0.00004862427],"domain_scores_gemma":[0.9997142,0.0000385836,0.0000355942,0.00002820049,0.0001529397,0.00003045805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001922727,0.0008888633,0.009660212,0.0005941017,0.0001240082,0.0008474535,0.0007664016,0.3261583,0.1837621,0.01000849,0.02659518,0.4386721],"study_design_scores_gemma":[0.0001367716,0.0003720898,0.001841391,0.00002025364,0.0000540865,0.0002336297,0.0000705795,0.964325,0.01574845,0.001659301,0.01549436,0.0000441746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1749632,0.0004728423,0.7634433,0.0005273921,0.0005690945,0.0004665257,0.0005658749,0.0191884,0.03980334],"genre_scores_gemma":[0.9734828,0.0001045975,0.01726894,0.0001016184,0.00006265605,0.000167183,0.0002396303,0.00006010255,0.008512365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005153767,"threshold_uncertainty_score":0.01724112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009414701406288476,"score_gpt":0.1813252128222303,"score_spread":0.1719105114159418,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}