{"id":"W3200555808","doi":"10.1155/2021/2444363","title":"Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Microsimulation; VisSim; Traffic simulation; Traffic flow (computer networking); Computer science; Transport engineering; Externality; Operations research; Simulation; Engineering; Economics; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.00005324596,0.00005756586,0.0001300995,0.0000659022,0.00001976426,0.00001011983,0.00001309056,0.00002908157,5.488837e-7],"category_scores_gemma":[0.00001761024,0.00005949265,0.00003127616,0.00006879044,0.000004561336,0.0003358103,4.840806e-7,0.00003711378,2.188822e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002069204,"about_ca_system_score_gemma":0.00001151578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.689729e-7,"about_ca_topic_score_gemma":0.00003407399,"domain_scores_codex":[0.9995241,0.000006075753,0.0002896658,0.00005572608,0.00006431228,0.00006016947],"domain_scores_gemma":[0.9996103,0.00004204294,0.00007727013,0.00002429996,0.000220682,0.00002538346],"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":[0.00007193345,0.00001170244,0.00003910601,0.000130361,0.00003050879,0.000001892016,0.0003053883,0.8748571,0.1196408,0.0001554638,0.000002082711,0.00475368],"study_design_scores_gemma":[0.001706778,0.00004859753,0.06604666,0.0000840286,0.00008397442,0.000003201905,0.0001982843,0.9303109,0.001352725,0.00005500289,0.00005184107,0.00005800304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658529,0.00168639,0.03216826,0.00002267917,0.00009606213,0.0001066404,0.00001333445,0.00005323568,4.760068e-7],"genre_scores_gemma":[0.9949694,0.0003006261,0.004683491,0.000002822809,0.0000152064,0.000001966546,0.00001596714,0.000008890162,0.000001684938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1182881,"threshold_uncertainty_score":0.242604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009461057490188982,"score_gpt":0.2209045892710315,"score_spread":0.2114435317808425,"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."}}