{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008971826,0.000698868,0.001310384,0.0004230264,0.0008707241,0.0001922882,0.0007789289,0.00007068686,0.00305056],"category_scores_gemma":[0.0001202849,0.0007654129,0.0005109531,0.000873593,0.0003328873,0.0002743447,0.0001152841,0.0009639367,0.00005934814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006835793,"about_ca_system_score_gemma":0.000285062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003586553,"about_ca_topic_score_gemma":0.0002801989,"domain_scores_codex":[0.9954725,0.0005562392,0.0009381481,0.0009323849,0.0008429123,0.001257848],"domain_scores_gemma":[0.9978038,0.0003970366,0.0003022262,0.0009486706,0.0001777036,0.000370566],"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":[0.0007513505,0.0002106812,0.002015498,0.00004210832,0.0009874345,0.00006823136,0.0004436902,0.9323033,0.01251147,0.0007418345,0.001591442,0.04833295],"study_design_scores_gemma":[0.01165161,0.0003473147,0.004848883,0.00001512595,0.0006610753,0.00003281633,0.003384968,0.942162,0.000007242791,0.00003778958,0.03589283,0.0009583078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6698514,0.001835806,0.3079877,0.001784458,0.00365527,0.004394285,0.002315924,0.003032721,0.005142448],"genre_scores_gemma":[0.9966844,0.00002136573,0.0001107703,0.001585925,0.0002561615,0.0008171743,0.00003430511,0.0001187489,0.0003711272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.326833,"threshold_uncertainty_score":0.9994797,"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."}}