{"id":"W3204043969","doi":"10.1109/icas49788.2021.9551150","title":"Heterogeneous Vehicular Platooning with Stable Decentralized Linear Feedback Control","year":2021,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Government of Alberta","keywords":"Platoon; Trajectory; Control theory (sociology); Controller (irrigation); Stability (learning theory); Vehicle dynamics; Decentralised system; Computer science; Fuel efficiency; Traffic flow (computer networking); Range (aeronautics); Representation (politics); Information flow; Control (management); Control engineering; Engineering; Automotive engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004019657,0.0007016868,0.0005426001,0.000303215,0.0004614239,0.0006484641,0.0007280858,0.0003764873,0.0006174654],"category_scores_gemma":[0.0007440885,0.0002245223,0.0003457034,0.0003429364,0.0005578734,0.000499625,0.001007394,0.0004559244,0.0001090713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006049933,"about_ca_system_score_gemma":0.0004930447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390001,"about_ca_topic_score_gemma":0.00279998,"domain_scores_codex":[0.9996552,0.00007462405,0.00001355496,0.00009427645,0.00009876959,0.00006352595],"domain_scores_gemma":[0.9996356,0.0001110855,0.0001130272,0.00003372677,0.00006971502,0.00003696102],"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":[0.0001098171,0.00002901863,0.0003409906,0.00003557011,0.00001621094,0.0001186249,0.00005923432,0.9783719,0.006055607,0.003908366,0.0002049837,0.01074966],"study_design_scores_gemma":[0.0000102866,0.00007299602,0.00009072961,0.000001296462,0.000004052804,0.000008850931,0.000009869964,0.9982697,0.0005345064,0.0008776959,0.0001171518,0.0000028992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1494133,0.0001938243,0.8449141,0.0001545253,0.00005388576,0.00006557105,0.00004981789,0.0002781514,0.004876744],"genre_scores_gemma":[0.9936859,0.00004242739,0.005541771,0.00001220842,0.00001048202,0.00002372378,0.00001887232,0.000004017528,0.0006607428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004390001,"threshold_uncertainty_score":0.008728921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005175717071361484,"score_gpt":0.17474087870121,"score_spread":0.1695651616298485,"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."}}