{"id":"W2809889752","doi":"10.1155/2018/7498594","title":"Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VisSim; Intersection (aeronautics); Transit (satellite); Arrival time; MATLAB; Computer science; Real-time computing; SIGNAL (programming language); Bus priority; Travel time; Signal timing; Simulation; Transmission (telecommunications); Traffic signal; Public transport; Transport engineering; Engineering; Telecommunications","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":[0.0005683849,0.0008851961,0.0007414568,0.0005934671,0.0005194702,0.0008954855,0.0008225693,0.0005791299,0.002042704],"category_scores_gemma":[0.0009929124,0.0004215451,0.0006880419,0.0004929686,0.0002844173,0.0009087148,0.0005282406,0.000610418,0.0001726116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131717,"about_ca_system_score_gemma":0.001709191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550267,"about_ca_topic_score_gemma":0.007615536,"domain_scores_codex":[0.9995401,0.00009405169,0.00002136764,0.0001064868,0.0001583616,0.00007973436],"domain_scores_gemma":[0.9997088,0.00009599829,0.00004302618,0.00001378728,0.0001149188,0.00002346257],"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":[0.00006509112,0.00004909177,0.0009235715,0.00008994815,0.00003383459,0.00006195858,0.00006601882,0.9533758,0.003841083,0.003270527,0.0006394999,0.03758352],"study_design_scores_gemma":[0.000006448621,0.00002643468,0.0001534957,0.000002006049,0.000007568038,0.000008844086,0.00001315275,0.9987007,0.000422673,0.0004051627,0.0002497884,0.000003679159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02964958,0.0001938721,0.9671386,0.00008834958,0.00004667063,0.00004287421,0.0000243875,0.0001969248,0.002618748],"genre_scores_gemma":[0.8929079,0.0002998121,0.1030059,0.00005226037,0.00004106974,0.0001021469,0.0000822251,0.00008775634,0.003420938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01550267,"threshold_uncertainty_score":0.03082484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147584624127214,"score_gpt":0.3139399287088507,"score_spread":0.2924640824675786,"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."}}