{"id":"W2056356822","doi":"10.1002/atr.133","title":"Modeling and simulation of vehicle projection arrival–discharge process in adaptive traffic signal controls","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queue; SIGNAL (programming language); Traffic flow (computer networking); Computer science; Real-time computing; Signal timing; Control theory (sociology); Sensitivity (control systems); Process (computing); Simulation; Engineering; Control (management); Electronic engineering; Traffic signal","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":[0.0005183798,0.000428074,0.0004881188,0.0003640073,0.0003466572,0.0006845157,0.0006934085,0.0007216113,0.001460509],"category_scores_gemma":[0.00129515,0.0002418509,0.0004230388,0.000260863,0.0007927733,0.0004598044,0.0005281045,0.0006878754,0.00008727899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111798,"about_ca_system_score_gemma":0.0008520522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02347507,"about_ca_topic_score_gemma":0.00628496,"domain_scores_codex":[0.9997988,0.00006454113,0.00000871499,0.00003448523,0.0000494052,0.00004400979],"domain_scores_gemma":[0.9994466,0.0002965623,0.0000936784,0.00002828666,0.0000878444,0.00004713178],"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":[0.00001665003,0.000009767403,0.0003295601,0.0000027938,0.000002273703,0.00001192824,0.000007737262,0.9982744,0.0002403262,0.0007021189,0.00002028272,0.0003822155],"study_design_scores_gemma":[0.000002514145,0.000007312167,0.00004758923,2.983288e-7,7.924692e-7,7.127929e-7,0.000001627987,0.9997452,0.00008903184,0.00008660417,0.00001737754,8.44086e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7822689,0.00008626541,0.2097689,0.0002250594,0.00003756933,0.00008698189,0.000172025,0.0003788395,0.006975405],"genre_scores_gemma":[0.9962375,0.00002241841,0.002793757,0.000008334975,0.000002289411,0.00003338702,0.00003942583,0.000005072562,0.00085783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347507,"threshold_uncertainty_score":0.04667681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00717010459843568,"score_gpt":0.2303177075291528,"score_spread":0.2231476029307171,"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."}}