{"id":"W4410174714","doi":"10.1177/09544070251327258","title":"Pareto optimality control of traffic signal and vehicle speed considering mixed traffic stream at isolated intersection","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Intersection (aeronautics); Pareto principle; Traffic optimization; Computer science; Traffic signal; Traffic congestion reconstruction with Kerner's three-phase theory; Transport engineering; Floating car data; Real-time computing; Mathematical optimization; Mathematics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000679829,0.000754781,0.0004586155,0.0006584727,0.0005571399,0.0009547476,0.000706165,0.0003316104,0.0006397601],"category_scores_gemma":[0.0009660118,0.0002239922,0.0004073639,0.000440185,0.0005772705,0.0005401838,0.0008111564,0.0004947251,0.0001101232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000809901,"about_ca_system_score_gemma":0.001494751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152925,"about_ca_topic_score_gemma":0.004683401,"domain_scores_codex":[0.9993166,0.0001150117,0.00002741911,0.0001463482,0.0002549737,0.0001397118],"domain_scores_gemma":[0.999403,0.0001367169,0.0001301661,0.00003161859,0.000237679,0.00006073257],"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":[0.0001718796,0.0001375119,0.001484071,0.00007842325,0.00003315308,0.00007731897,0.000134025,0.9067825,0.02079866,0.00899094,0.0006226322,0.06068895],"study_design_scores_gemma":[0.00001276936,0.00006887918,0.0003927435,0.000002585854,0.000008203311,0.000007636896,0.00002681137,0.9952934,0.002605969,0.001250832,0.0003233172,0.000006837084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1501189,0.0001119414,0.8416756,0.0001087982,0.00003983532,0.00006452488,0.00002466297,0.0003033293,0.00755239],"genre_scores_gemma":[0.9849092,0.00004994171,0.01398321,0.00001743841,0.000007939733,0.00004176807,0.00001907331,0.00001491729,0.0009563981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006152925,"threshold_uncertainty_score":0.01223421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005485445463775262,"score_gpt":0.1880615702896193,"score_spread":0.1825761248258441,"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."}}