{"id":"W3138434708","doi":"10.37394/23202.2020.19.4","title":"Real Time Intelligent Traffic Light System","year":2020,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON SYSTEMS","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Queue; MATLAB; Computer science; Traffic congestion; Real-time computing; Automotive engineering; Floating car data; Traffic signal; Traffic optimization; Intelligent transportation system; Control (management); Simulation; Transport engineering; Engineering; Computer network; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000825727,0.0002132615,0.0002883155,0.00009219195,0.00008222121,0.00007397529,0.0001673457,0.00007789115,0.0000709738],"category_scores_gemma":[0.00000100371,0.0002029709,0.0001432706,0.0002328524,0.000009796715,0.00007162546,0.000001627993,0.0001560925,0.001638729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624568,"about_ca_system_score_gemma":0.0000126909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001610536,"about_ca_topic_score_gemma":0.000006189955,"domain_scores_codex":[0.998863,0.00004152878,0.0003379353,0.0002487468,0.0002443842,0.0002643871],"domain_scores_gemma":[0.9994586,0.0000262477,0.00002535276,0.0002366538,0.00002450176,0.0002287071],"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":[0.00002801507,0.00003562626,2.51676e-7,0.0004452036,0.0001899971,0.00002132688,0.0005249518,0.9804958,0.00130797,0.0003823135,0.002234018,0.01433454],"study_design_scores_gemma":[0.0006318624,0.0001539381,0.00003293953,0.0001825059,0.0001325857,0.00001453084,0.001158513,0.8647462,0.000331051,2.792419e-7,0.1322217,0.0003938843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05986273,0.002187398,0.7700619,0.002320355,0.008387538,0.004413674,0.0002469903,0.02038539,0.132134],"genre_scores_gemma":[0.9986825,0.00006002186,0.00003868784,0.00002114872,0.0002123091,0.0001306941,0.000004894103,0.0000509075,0.0007988397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9388198,"threshold_uncertainty_score":0.9991386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009414701406288476,"score_gpt":0.1813252128222303,"score_spread":0.1719105114159418,"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."}}