{"id":"W2602115959","doi":"10.1002/atr.1456","title":"Field implementation feasibility study of cumulative travel‐time responsive (CTR) traffic signal control algorithm","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Agency for Infrastructure Technology Advancement; National Research Foundation of Korea","keywords":"VisSim; Algorithm; Intersection (aeronautics); Computer science; Kalman filter; Signal timing; Real-time computing; Simulation; Traffic signal; Engineering; Transport engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590647,0.0003766249,0.0002706148,0.0004256745,0.0003092769,0.0005309471,0.001033862,0.0004530419,0.002389762],"category_scores_gemma":[0.002565445,0.0001476137,0.0002048844,0.0001985905,0.0002639893,0.0005709246,0.0003378084,0.0004687711,0.0003541047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007948307,"about_ca_system_score_gemma":0.001053135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437932,"about_ca_topic_score_gemma":0.007101265,"domain_scores_codex":[0.9992021,0.0002145002,0.00004425795,0.0001583095,0.000254108,0.0001267885],"domain_scores_gemma":[0.9976006,0.0005318194,0.0001105672,0.0002616967,0.001395151,0.0001000964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002260793,0.003669754,0.03909365,0.0004564128,0.0001603933,0.0004725799,0.0005264187,0.5029032,0.1271654,0.00455718,0.004886256,0.3138479],"study_design_scores_gemma":[0.0002141152,0.004076285,0.008065502,0.00002032266,0.0000397332,0.00006515687,0.0002154497,0.9297287,0.05424069,0.0002721223,0.00302739,0.00003452738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703967,0.00006339103,0.120163,0.0001957479,0.0000724284,0.0005386584,0.0001704797,0.001257383,0.007142191],"genre_scores_gemma":[0.9812579,0.00001612435,0.0175549,0.00001842275,0.0000033105,0.00007140211,0.00009958694,0.00001175731,0.0009666299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01437932,"threshold_uncertainty_score":0.02859128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008360952614629446,"score_gpt":0.2627360193151502,"score_spread":0.2543750667005208,"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."}}