{"id":"W4381248971","doi":"10.3390/app13127234","title":"A Microscopic Traffic Model Considering Time Headway and Distance Headway","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Microscopic traffic flow model; Traffic flow (computer networking); Acceleration; Traffic wave; Simulation; Traffic model; Computer science; Constant (computer programming); Three-phase traffic theory; Traffic generation model; Traffic congestion reconstruction with Kerner's three-phase theory; Statistical physics; Transport engineering; Real-time computing; Engineering; Physics; Traffic congestion; Classical mechanics; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001886132,0.0001095376,0.0001322556,0.00008276224,0.0001537239,0.00008258357,0.0001295129,0.00002397186,0.00001208191],"category_scores_gemma":[0.00000313636,0.00009937101,0.00001729951,0.0003219966,0.0001571354,0.00006811313,0.00004144592,0.00005408042,0.0001102356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001422274,"about_ca_system_score_gemma":0.00001334041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001485766,"about_ca_topic_score_gemma":0.00002236186,"domain_scores_codex":[0.9992074,0.00000328257,0.0001202879,0.0002315592,0.000135746,0.0003017406],"domain_scores_gemma":[0.999783,0.0000437639,0.000011601,0.000100289,0.000003943997,0.00005735277],"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":[0.000002028735,0.000005196813,0.000009950528,0.00004033407,0.000009132693,0.000002515902,0.0003827963,0.9544743,0.02261556,0.005971513,0.002539425,0.01394729],"study_design_scores_gemma":[0.0002382818,0.00001111157,0.0003850104,0.00001472952,0.000006304666,0.000001086217,0.000131693,0.9950247,0.0003742715,0.0006336896,0.003016366,0.0001627436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778785,0.0004133791,0.005778952,0.0002419648,0.0001318056,0.0002601831,0.000004915732,0.001097305,0.01419298],"genre_scores_gemma":[0.9983014,0.00004711899,0.001038987,0.00006563614,0.00001866109,0.00003869727,0.000001396021,0.00001004447,0.0004779892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04055046,"threshold_uncertainty_score":0.4052232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294454454984664,"score_gpt":0.2109996648168695,"score_spread":0.1980551202670228,"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."}}