{"id":"W4364322321","doi":"10.1109/tiv.2023.3265866","title":"Joint Optimization of Platoon Control and Resource Scheduling in Cooperative Vehicle-Infrastructure System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Traffic control and management","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Platoon; Scheduling (production processes); Cell Transmission Model; Computer science; Reliability (semiconductor); Mathematical optimization; Engineering; Control (management); Mathematics; Traffic congestion","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":[],"consensus_categories":[],"category_scores_codex":[0.000155912,0.0001591264,0.0002424434,0.0003310083,0.00006271381,0.00002525074,0.00006932719,0.00008427128,0.00001360383],"category_scores_gemma":[0.000003300081,0.0001555409,0.00005399887,0.000346705,0.00003586716,0.00007560993,0.000001374987,0.000195365,0.00001165516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008854643,"about_ca_system_score_gemma":0.000009195297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729734,"about_ca_topic_score_gemma":0.00003294382,"domain_scores_codex":[0.9990829,0.00004031768,0.0003520937,0.0001842672,0.0001464571,0.0001939196],"domain_scores_gemma":[0.9996586,0.00008678174,0.00003390585,0.0001342126,0.00003331722,0.00005322567],"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":[0.0000636176,0.00001920526,0.00001652644,0.0001522832,0.00007240797,0.000005464487,0.0004929882,0.9795581,0.002955197,0.0001629038,0.00003131466,0.01647],"study_design_scores_gemma":[0.0006976809,0.00006365298,0.0005657587,0.0001979953,0.00003283886,0.000002261874,0.001589206,0.9843134,0.01226784,0.000006718572,0.0001264435,0.0001361533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3586093,0.0001210215,0.640063,0.00006931541,0.000212508,0.000353439,0.00003025628,0.0003854591,0.0001557869],"genre_scores_gemma":[0.9993134,0.0001852685,0.000347626,0.00001878919,0.00001917018,0.00005073253,0.000003439018,0.00002726759,0.00003432282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6407042,"threshold_uncertainty_score":0.6342773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025684036736741,"score_gpt":0.2038618944986057,"score_spread":0.1936050541312383,"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."}}