{"id":"W4250429650","doi":"10.22215/etd/2011-07126","title":"Distributed and adaptive traffic signal control within a realistic traffic simulation","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Traffic signal; Control (management); Real-time computing; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001024414,0.0003714971,0.0005861553,0.0003883711,0.000286323,0.0002670469,0.00045407,0.000447697,0.001037301],"category_scores_gemma":[0.0005918181,0.0002896004,0.0001703829,0.0007142463,0.00009051773,0.0002230818,0.00001807364,0.0003078935,0.0001019198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004741463,"about_ca_system_score_gemma":0.0001435517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005560087,"about_ca_topic_score_gemma":0.0004408922,"domain_scores_codex":[0.9965122,0.0001779901,0.001218639,0.0008709603,0.0009720449,0.000248197],"domain_scores_gemma":[0.9957934,0.001827127,0.0008143649,0.0005361514,0.0008401293,0.0001888128],"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":[0.0009860977,0.0002959272,0.00008336042,0.00002624761,0.000120028,0.000007422321,0.002827143,0.7809489,0.00009548637,0.02972784,0.004263385,0.1806182],"study_design_scores_gemma":[0.0007227905,0.00017607,0.003818341,0.00004451878,0.0001385619,0.000002475161,0.00166124,0.9757861,0.00007282199,0.01563087,0.001483015,0.0004631316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5486599,0.0003338434,0.428824,0.000167437,0.000469007,0.003864182,0.001491136,0.001094651,0.01509578],"genre_scores_gemma":[0.9904809,0.000006708637,0.001065029,0.00007299739,0.00007695681,0.0001427317,0.001213187,0.0000363795,0.006905109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.441821,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09678186053114837,"score_gpt":0.3833096557647722,"score_spread":0.2865277952336238,"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."}}