{"id":"W3156293026","doi":"10.1049/cth2.12139","title":"Distance‐based formation control for multi‐lane autonomous vehicle platoons","year":2021,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Traffic control and management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Platoon; Overtaking; Control theory (sociology); Controller (irrigation); Vehicle dynamics; Lyapunov function; Computer science; Control engineering; Yaw; Engineering; Control (management); Automotive engineering; Nonlinear system","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":[0.0002799215,0.0003525038,0.0002312155,0.0002528942,0.0002935402,0.0003139153,0.0005748618,0.00020569,0.0007204345],"category_scores_gemma":[0.0004797845,0.000157551,0.0002259246,0.0001786574,0.0005287406,0.0003497884,0.0007972615,0.0003598586,0.0001018595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004523799,"about_ca_system_score_gemma":0.0004277289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004439365,"about_ca_topic_score_gemma":0.004153073,"domain_scores_codex":[0.9998024,0.00003821857,0.00000775331,0.00004785442,0.00006622332,0.00003753766],"domain_scores_gemma":[0.9996655,0.00007689914,0.0001038681,0.00002775166,0.00008775059,0.00003827194],"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":[0.00009695091,0.00003872539,0.0005535239,0.000038966,0.00002175451,0.00006421112,0.0001152361,0.9503267,0.01382775,0.006251168,0.0003381135,0.02832689],"study_design_scores_gemma":[0.000008295219,0.00008359151,0.0001547625,0.000001396173,0.000002986817,0.000007127654,0.0000119491,0.9972571,0.001226859,0.0008906897,0.0003524461,0.000002926651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.141326,0.0001902898,0.8526892,0.0001262364,0.00007579375,0.00003452714,0.00002100698,0.0002647173,0.005272224],"genre_scores_gemma":[0.9928138,0.00002623233,0.006336253,0.00001245896,0.000007588626,0.00001148907,0.00001018865,0.000004315156,0.0007777956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004439365,"threshold_uncertainty_score":0.008827031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008705058927077706,"score_gpt":0.2205782885027764,"score_spread":0.2118732295756987,"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."}}