{"id":"W4407538445","doi":"10.1016/j.commtr.2025.100163","title":"On the stochastic fundamental diagram: A general micro-macroscopic traffic flow modeling framework","year":2025,"lang":"en","type":"article","venue":"Communications in Transportation Research","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Diagram; Statistical physics; Flow (mathematics); Microscopic traffic flow model; Computer science; Mechanics; Physics; Traffic generation model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008564608,0.0005761794,0.0006825133,0.001188927,0.0005425964,0.001121449,0.001064788,0.001041493,0.001989957],"category_scores_gemma":[0.001797893,0.0003193643,0.001122125,0.0009162107,0.001075195,0.00234337,0.0009824482,0.001126519,0.0003147667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373671,"about_ca_system_score_gemma":0.001443133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360402,"about_ca_topic_score_gemma":0.002310402,"domain_scores_codex":[0.9996081,0.0001126862,0.00001670203,0.00008404227,0.0001314938,0.00004709186],"domain_scores_gemma":[0.9994784,0.0002401042,0.00008760258,0.00004940656,0.0001050193,0.00003953539],"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":[0.00001049938,0.00001341881,0.0004970468,0.0000357354,0.000008500943,0.0000463755,0.00005946333,0.7275701,0.001374215,0.2632409,0.0004889005,0.006654959],"study_design_scores_gemma":[0.000001681855,0.00000494659,0.00006172988,0.00000383874,0.000001578315,0.00001088582,0.000003194757,0.9662449,0.00008117592,0.03287536,0.0007061163,0.000004613245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01058506,0.0002618897,0.9845625,0.0001834946,0.00003638232,0.00003314873,0.0001682836,0.0001230752,0.004046155],"genre_scores_gemma":[0.8043734,0.001592207,0.1869197,0.0001956592,0.0002179478,0.0003843039,0.0006922188,0.0001889397,0.005435675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006360402,"threshold_uncertainty_score":0.01264679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760736324036222,"score_gpt":0.3580093203609084,"score_spread":0.3004019571205462,"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."}}