{"id":"W4410889974","doi":"10.5267/j.ijiec.2025.5.003","title":"Mixed traffic optimization considering road reservation travel based on the bi-level programming model","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reservation; Computer science; Mathematical optimization; Programming paradigm; Traffic model; Transport engineering; Operations research; Engineering; Mathematics; 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":[0.0007787926,0.0007940726,0.001094737,0.0005418602,0.0005728345,0.001761403,0.001151268,0.001041665,0.003076267],"category_scores_gemma":[0.001152867,0.0004948489,0.001012704,0.0008291091,0.0006233922,0.001335951,0.001044535,0.0013562,0.0002184136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132043,"about_ca_system_score_gemma":0.001810085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687296,"about_ca_topic_score_gemma":0.008705016,"domain_scores_codex":[0.9994506,0.0002047608,0.00001800498,0.00009233133,0.0001139993,0.0001202371],"domain_scores_gemma":[0.9996386,0.0001860999,0.00003584716,0.00001304542,0.00008754087,0.00003888149],"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":[0.00001905352,0.00002207778,0.0002415799,0.00002799111,0.00001324897,0.0000392064,0.00001890728,0.9851369,0.0003208751,0.01128515,0.000270989,0.002604019],"study_design_scores_gemma":[0.000002147497,0.000006408466,0.00002461975,0.000001026433,0.000002024707,0.000002504162,0.000004983916,0.9987313,0.0000274884,0.001109028,0.00008688139,0.000001536248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04905694,0.0002803919,0.9399698,0.0004158235,0.00005968295,0.00006661455,0.0001304556,0.0001249368,0.009895333],"genre_scores_gemma":[0.8806573,0.0004460024,0.107319,0.0001460048,0.00003724785,0.0003236261,0.0001855404,0.00008059897,0.0108047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01687296,"threshold_uncertainty_score":0.03354949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09298425618787723,"score_gpt":0.305205835202893,"score_spread":0.2122215790150157,"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."}}