{"id":"W4387693393","doi":"10.1155/2023/6751908","title":"Signal-Vehicle Coordination Control Modeling and Roadside Unit Deployment Evaluation under V2I Communication Environment","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Software deployment; SIGNAL (programming language); Computer science; Control (management); Real-time computing; Reduction (mathematics); Control unit; Communications system; Traffic simulation; Simulation; Engineering; Computer network; Transport engineering; Microsimulation; Artificial intelligence","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":[0.001050051,0.001076049,0.0006587106,0.0005940591,0.0004010027,0.001045263,0.001217368,0.0008006273,0.001026266],"category_scores_gemma":[0.00204753,0.0002668862,0.0006453217,0.000581278,0.0007078754,0.0009745414,0.0008545662,0.0007658682,0.0001375181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740533,"about_ca_system_score_gemma":0.001705283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270111,"about_ca_topic_score_gemma":0.00806974,"domain_scores_codex":[0.9991291,0.0002119918,0.00003513693,0.0002006105,0.0002554876,0.0001676873],"domain_scores_gemma":[0.9989821,0.0003439818,0.000230744,0.0000596235,0.0003314159,0.00005207719],"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":[0.00001412125,0.000008005158,0.0003314594,0.00001483468,0.000004094104,0.00002116656,0.00001200783,0.9962739,0.00035648,0.00153731,0.00008517696,0.001341449],"study_design_scores_gemma":[0.000001454171,0.00001225792,0.00008652787,9.314318e-7,0.000002496742,0.000002335981,0.000004839226,0.9994837,0.0001565564,0.0002091246,0.00003797434,0.000001714443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525862,0.0005365835,0.8341132,0.0003494593,0.00005735394,0.0001856056,0.0001766449,0.0003775835,0.01161725],"genre_scores_gemma":[0.9914477,0.0001853855,0.00697176,0.00001641543,0.00001041184,0.0000935693,0.0000649321,0.00001324478,0.001196712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02270111,"threshold_uncertainty_score":0.04513794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573023021466749,"score_gpt":0.2354936344384447,"score_spread":0.2197634042237772,"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."}}