{"id":"W3048515018","doi":"10.1061/9780784482933.034","title":"Evaluation of High-Level Traffic Signal Control Algorithms Using Hardware in the Loop Simulation","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"VisSim; Intersection (aeronautics); Signal timing; Computer science; SIGNAL (programming language); Software; Controller (irrigation); Process (computing); Hardware-in-the-loop simulation; Traffic flow (computer networking); Traffic simulation; Field (mathematics); Algorithm; Real-time computing; Embedded system; Traffic signal; Engineering","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":[0.0007626772,0.0004700735,0.0003610897,0.0005109846,0.0002594878,0.0005565215,0.0005991991,0.0004185197,0.001266755],"category_scores_gemma":[0.00165043,0.0001115739,0.0002824361,0.0002890997,0.0004112512,0.0004341374,0.0003351273,0.0003621835,0.000084339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005823639,"about_ca_system_score_gemma":0.0007032185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005104432,"about_ca_topic_score_gemma":0.002159356,"domain_scores_codex":[0.9995061,0.0001480998,0.00002972339,0.00004743369,0.0001891674,0.00007945899],"domain_scores_gemma":[0.9989746,0.0005577089,0.0000933899,0.00009144855,0.0002472172,0.00003569522],"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":[0.00009804163,0.00009721421,0.001198348,0.00006380165,0.00001331685,0.00002579637,0.00004380467,0.9771728,0.006405699,0.001615885,0.0001319431,0.01313337],"study_design_scores_gemma":[0.000007569276,0.0001081888,0.000263581,0.000002094331,0.000004237367,0.000004167021,0.00001055817,0.9954426,0.003874653,0.0001356113,0.000143724,0.000002907635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200199,0.0001484426,0.26998,0.00008586302,0.000048963,0.0001838028,0.0001326111,0.001149001,0.008251443],"genre_scores_gemma":[0.9838713,0.00003313067,0.01559079,0.000005217848,0.000002156299,0.00004500377,0.00005135329,0.00001292203,0.0003881547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005104432,"threshold_uncertainty_score":0.01014942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058517766831294,"score_gpt":0.2634713661576084,"score_spread":0.2028861884892954,"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."}}