{"id":"W4294691448","doi":"10.23919/acc53348.2022.9867620","title":"Feasibility Guaranteed Traffic Merging Control Using Control Barrier Functions","year":2022,"lang":"en","type":"article","venue":"2022 American Control Conference (ACC)","topic":"Traffic control and management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Constraint (computer-aided design); Mathematical optimization; Optimal control; Controller (irrigation); Control theory (sociology); Acceleration; Computer science; Control (management); Sequence (biology); Quadratic programming; Function (biology); Quadratic equation; Constraint satisfaction; Mathematics","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":[0.001404885,0.001282163,0.0008061558,0.0005381766,0.0005561711,0.0009576656,0.00108133,0.0009269817,0.001535807],"category_scores_gemma":[0.002799209,0.0004559042,0.0005839866,0.000461667,0.0008826123,0.0009510747,0.00152318,0.001036875,0.0001618918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062304,"about_ca_system_score_gemma":0.00148519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005656603,"about_ca_topic_score_gemma":0.002386032,"domain_scores_codex":[0.9993213,0.0002199651,0.00002021421,0.0001014623,0.0001718527,0.0001650914],"domain_scores_gemma":[0.9989285,0.0005514418,0.0002004877,0.00004774388,0.0001988107,0.00007292385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009364074,0.00004266039,0.0002094747,0.00006169186,0.00001646222,0.00006123349,0.00006280264,0.9681209,0.004286203,0.01572123,0.0003567908,0.01096694],"study_design_scores_gemma":[0.00001281165,0.0000453189,0.00004531725,0.000002923881,0.000002982579,0.000006055528,0.000006557892,0.9972885,0.0005422793,0.001826508,0.0002172981,0.000003542528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04242359,0.0001806631,0.9522365,0.0001601934,0.00002893582,0.00005432912,0.00002359577,0.000303691,0.004588508],"genre_scores_gemma":[0.9681253,0.00008095794,0.03049712,0.000040642,0.00001506804,0.00008146594,0.00003471083,0.00004160083,0.001083161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005656603,"threshold_uncertainty_score":0.01124734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145361214459522,"score_gpt":0.2233783970531964,"score_spread":0.2088422756072442,"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."}}