{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006411194,0.000643489,0.0003691331,0.0007703857,0.0002641159,0.0008247029,0.0007435969,0.0004976388,0.0008817708],"category_scores_gemma":[0.001633573,0.0002458615,0.0008878689,0.0006131197,0.0004609744,0.0007586625,0.0007032137,0.0008084799,0.0001856767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008282764,"about_ca_system_score_gemma":0.0006889235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005461968,"about_ca_topic_score_gemma":0.002482509,"domain_scores_codex":[0.999624,0.0001375552,0.00002730537,0.00006984657,0.0001035536,0.0000376826],"domain_scores_gemma":[0.9995079,0.0002076974,0.00008071127,0.00005806617,0.0001213671,0.00002430078],"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":[0.0000332142,0.00004256035,0.003590017,0.0001478241,0.00005900929,0.00008618846,0.0000978117,0.930584,0.00365547,0.03763218,0.0004689875,0.02360274],"study_design_scores_gemma":[0.000003148757,0.00004847568,0.0005435352,0.00003059233,0.00002406632,0.00003698225,0.00003100719,0.9884072,0.002091856,0.004437568,0.004334261,0.00001123715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1318586,0.002887998,0.8434951,0.0004251299,0.0001979464,0.0001213235,0.0003662625,0.0004619193,0.02018563],"genre_scores_gemma":[0.9272517,0.002912085,0.06652576,0.00006451958,0.00006557764,0.000196041,0.0003922972,0.0001205635,0.002471393],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005461968,"threshold_uncertainty_score":0.01086032,"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."}}