{"id":"W4415682232","doi":"10.18280/mmep.120928","title":"Intelligent Traffic Light Optimization System Using Convolutional Neural Networks for Historic City Centers in Complex Scenarios","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Artificial neural network; Intelligent transportation system; Traffic signal; Deep learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047249,0.0004496381,0.0005906398,0.0005300026,0.0001509696,0.0001399764,0.0001835821,0.0002752402,0.000005726703],"category_scores_gemma":[0.00002217676,0.0005082953,0.0001466801,0.0004263214,0.00003916973,0.0001563719,0.00007334154,0.0003846326,5.453326e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818105,"about_ca_system_score_gemma":0.00001818444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001148561,"about_ca_topic_score_gemma":0.000001244117,"domain_scores_codex":[0.9977459,0.00002675606,0.00098019,0.0004621067,0.0001838972,0.0006011724],"domain_scores_gemma":[0.9993579,0.0001290441,0.00008301289,0.0002237029,0.00006604339,0.0001402679],"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":[0.00002008738,0.0001033673,0.000004568129,0.005639936,0.0001000444,0.000001674814,0.0002916543,0.9779897,0.00002695881,0.01484449,0.0001601374,0.0008173811],"study_design_scores_gemma":[0.0005645442,0.00004521499,0.000002139087,0.002320236,0.0001346311,0.000008185438,0.00006608987,0.995949,0.000006293819,0.00008456322,0.0004310462,0.0003880124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002932569,0.001639527,0.9912823,0.00009859029,0.0007839603,0.001363471,0.000009405134,0.001748517,0.0001416477],"genre_scores_gemma":[0.9078034,0.0002143014,0.09162756,0.00001404823,0.00007441849,0.0001459866,0.00002651231,0.00006107383,0.00003274148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9048708,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336504919027055,"score_gpt":0.2234810902608109,"score_spread":0.1898305983581054,"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."}}