{"id":"W4399471339","doi":"10.1080/15472450.2024.2352390","title":"A platoon formation algorithm for intersections with blue phase control in mixed traffic","year":2024,"lang":"en","type":"article","venue":"Journal of Intelligent Transportation Systems","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Tongji University; Technische Universiteit Delft; National Natural Science Foundation of China","keywords":"Platoon; Phase (matter); Computer science; Algorithm; Control (management); Automotive engineering; Engineering; Control theory (sociology); Simulation; Artificial intelligence; Physics","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":[0.0005098925,0.0006442887,0.0007295356,0.0003644035,0.0005695305,0.0006100711,0.000780443,0.0005317022,0.001797735],"category_scores_gemma":[0.0007968943,0.0003083757,0.0004169833,0.0003513788,0.0004569529,0.0005448039,0.0009882705,0.0007404569,0.0002164958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556726,"about_ca_system_score_gemma":0.001377324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00811763,"about_ca_topic_score_gemma":0.005570041,"domain_scores_codex":[0.9998031,0.00004064975,0.00001041353,0.00005442006,0.0000442942,0.00004711929],"domain_scores_gemma":[0.9996938,0.0001260013,0.00005046469,0.00001577214,0.00008054425,0.00003350586],"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":[0.0001056627,0.00003365943,0.0005483271,0.00003763854,0.00001595782,0.00006070779,0.00009282302,0.945259,0.002351773,0.006069541,0.0006411041,0.04478385],"study_design_scores_gemma":[0.000008458485,0.00002133705,0.00002476799,0.000001514719,0.000002077038,0.000004872317,0.000006459248,0.9989567,0.0002342464,0.0005698074,0.000168188,0.000001542167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01724902,0.00007550095,0.9811355,0.00005534709,0.00001818497,0.00004853675,0.00001789758,0.0001808693,0.001219051],"genre_scores_gemma":[0.6979351,0.0001189527,0.2988775,0.00006134341,0.00002142549,0.0001951646,0.0001483727,0.00005172588,0.002590376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00811763,"threshold_uncertainty_score":0.01614076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125932546041284,"score_gpt":0.2334389393979524,"score_spread":0.2221796139375396,"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."}}