{"id":"W2026629703","doi":"10.1016/j.sbspro.2013.08.320","title":"Development of a Dynamic Control Model for Oversaturated Arterial Corridor","year":2013,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"VisSim; Queue; Offset (computer science); Spillover effect; Signal timing; Traffic simulation; Computer science; Queueing theory; Simulation; Control theory (sociology); Engineering; Control (management); Real-time computing; Transport engineering; Traffic signal; Economics; Computer network; Microsimulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004543337,0.0008335142,0.0007996918,0.0004793605,0.0007983582,0.00148978,0.001245952,0.001299136,0.004001219],"category_scores_gemma":[0.0006593918,0.000445444,0.0007109616,0.000427075,0.0006495329,0.0005935876,0.0008988125,0.001134359,0.000378607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107923,"about_ca_system_score_gemma":0.001618049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04921659,"about_ca_topic_score_gemma":0.02076656,"domain_scores_codex":[0.9997495,0.00004556298,0.00001319319,0.00007514244,0.00006314173,0.00005337785],"domain_scores_gemma":[0.9996673,0.0001021478,0.00006269739,0.00001139817,0.0001337473,0.00002275195],"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":[0.00001770392,0.00001094428,0.0002414617,0.00003033347,0.000007885536,0.00007143558,0.00003507567,0.9929435,0.0008650993,0.003279252,0.0001978864,0.002299402],"study_design_scores_gemma":[0.000005980545,0.00001436187,0.00007176383,0.000003773786,0.000005272957,0.000006627194,0.000008864105,0.9989617,0.0001423592,0.0004097922,0.0003655994,0.000004021375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0556537,0.0005496282,0.9110724,0.0004934697,0.0001390192,0.0001675868,0.00049154,0.0006873924,0.03074529],"genre_scores_gemma":[0.9672851,0.0004073775,0.02016,0.00005714077,0.00002949402,0.0003236791,0.000254747,0.00003594391,0.01144656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04921659,"threshold_uncertainty_score":0.09786028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061687766453047,"score_gpt":0.2675045177579904,"score_spread":0.2368876400934599,"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."}}