{"id":"W4292484209","doi":"10.1155/2022/4879049","title":"Urban Arterial Signal Coordination Using Spatial and Temporal Division Methods","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Queue; Intersection (aeronautics); SIGNAL (programming language); Computer science; Set (abstract data type); Signal timing; Division (mathematics); Sensitivity (control systems); Real-time computing; Simulation; Mathematics; Transport engineering; Engineering; Traffic signal; Electronic engineering","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":[0.001056942,0.0007130346,0.0006242499,0.0008038833,0.0004359041,0.001031298,0.001133103,0.0006394308,0.001948803],"category_scores_gemma":[0.002645918,0.0004159586,0.0007377529,0.0008812266,0.0005605107,0.001075651,0.0009559517,0.0007159969,0.0002196801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340977,"about_ca_system_score_gemma":0.001392048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381894,"about_ca_topic_score_gemma":0.008451039,"domain_scores_codex":[0.9992311,0.0002918514,0.00003934523,0.0001630118,0.0001860457,0.00008862004],"domain_scores_gemma":[0.9989556,0.0005499508,0.0001763213,0.00006792044,0.0001923802,0.00005782591],"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":[0.00003438695,0.00001422524,0.0005030162,0.00001541039,0.00001689307,0.00001905875,0.00003262193,0.9748831,0.000627894,0.005827066,0.0001499602,0.01787622],"study_design_scores_gemma":[0.00000330801,0.000009137786,0.00006695687,0.000001704176,0.000003872109,0.000004532108,0.000006248985,0.9985399,0.0002061422,0.0008694538,0.0002862741,0.000002472805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02235362,0.0001353614,0.9749123,0.00006662166,0.00002798567,0.00005168736,0.00004962705,0.0001381796,0.002264519],"genre_scores_gemma":[0.7728723,0.0002567347,0.2226065,0.00003767213,0.00004681729,0.0002226488,0.0001311868,0.00007116271,0.003754936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01381894,"threshold_uncertainty_score":0.02747703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009164500856631218,"score_gpt":0.254908560329462,"score_spread":0.2457440594728307,"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."}}