{"id":"W3036285880","doi":"10.1155/2020/8237649","title":"Review of Virtual Traffic Simulation and Its Applications","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Ningbo University","keywords":"Traffic simulation; Status quo; Computer science; Traffic flow (computer networking); Transport engineering; Animation; Hotspot (geology); Traffic conflict; Crowd simulation; Network traffic simulation; Traffic engineering; Traffic generation model; Floating car data; Virtual reality; Modeling and simulation; Simulation; Traffic congestion; Engineering; Human–computer interaction; Network traffic control; Microsimulation; Crowds; Computer security; Real-time computing; Computer network; Computer graphics (images)","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":[0.001170166,0.0008758156,0.0009788092,0.002624535,0.0004663552,0.002127794,0.00152201,0.001113055,0.007837536],"category_scores_gemma":[0.003994569,0.0005410211,0.0008527352,0.003981743,0.000515703,0.002025598,0.0009107349,0.0008992128,0.002554938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007861981,"about_ca_system_score_gemma":0.001849032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515393,"about_ca_topic_score_gemma":0.00220579,"domain_scores_codex":[0.9991314,0.0002366713,0.0001196766,0.0001344311,0.0003364099,0.00004145248],"domain_scores_gemma":[0.9976412,0.001290324,0.00009761342,0.0001482375,0.0007336502,0.00008897726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008043063,0.00007386503,0.0009589886,0.008870625,0.0001149067,0.0001581968,0.0001752419,0.01240886,0.001329969,0.02630253,0.04492202,0.9046045],"study_design_scores_gemma":[0.00001375405,0.00009632806,0.00123062,0.003609536,0.000138184,0.0006279639,0.0001731583,0.01515264,0.001414857,0.01431815,0.9631559,0.00006891705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002666143,0.9103832,0.05067117,0.0023604,0.002862584,0.0000864172,0.0004260579,0.0004794529,0.03006473],"genre_scores_gemma":[0.02918877,0.9340296,0.0261222,0.0007480147,0.002193408,0.0001063167,0.0008001262,0.0001695429,0.006641892],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007837536,"threshold_uncertainty_score":0.02621919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251582154380633,"score_gpt":0.2688675303703813,"score_spread":0.256351708826575,"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."}}