{"id":"W3102884785","doi":"10.1155/2020/8873962","title":"Performance Analysis of Decentralized VS Centralized Control for the Traffic Signal Synchronization Problem","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subnetwork; Synchronization (alternating current); SIGNAL (programming language); Decomposition; Computer science; Signal timing; Mathematical optimization; Function (biology); Control (management); Traffic network; Decomposition method (queueing theory); Control theory (sociology); Mathematics; Computer network; Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318726,0.0001132486,0.000361458,0.0001012481,0.00003741052,0.0000109225,0.0001217864,0.0000308577,0.00003197034],"category_scores_gemma":[0.000008278715,0.00008480994,0.0002593901,0.0004561465,0.00001696483,0.0002247652,4.985895e-7,0.00008067723,2.443084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224732,"about_ca_system_score_gemma":0.00002152416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.056659e-7,"about_ca_topic_score_gemma":0.00001977832,"domain_scores_codex":[0.9989105,0.00001331169,0.0006280449,0.00007978373,0.00021575,0.0001526393],"domain_scores_gemma":[0.9993429,0.00009410084,0.0002713923,0.00005807358,0.0001696748,0.00006390029],"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":[0.0008058241,0.00002464629,0.0003334271,0.0001626973,0.001190198,0.000001186682,0.001149408,0.9543827,0.002270205,0.00007389869,0.0000415532,0.03956429],"study_design_scores_gemma":[0.006188542,0.0003036761,0.09752809,0.00004266663,0.003827444,4.576637e-7,0.0002370424,0.8886107,0.0003635199,0.000007508083,0.002763307,0.0001271046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.52702,0.0007280856,0.4709178,0.0005452962,0.000150556,0.0005450806,0.00003982482,0.00004676124,0.000006609264],"genre_scores_gemma":[0.9961896,0.0008435335,0.002794497,0.00005777272,0.0000478251,0.00001575223,0.00003410683,0.00001487324,0.000002018762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4691696,"threshold_uncertainty_score":0.3458449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005656133696458463,"score_gpt":0.2008370747539323,"score_spread":0.1951809410574738,"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."}}