{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062987,0.0001176364,0.0002122401,0.0001173752,0.0003721833,0.00003272445,0.00009061224,0.0001085253,0.0001330378],"category_scores_gemma":[0.00004740414,0.000123842,0.0001072076,0.0001771205,0.0001197094,0.0006488878,4.124376e-7,0.0001147503,0.000001406657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009231935,"about_ca_system_score_gemma":0.0001581439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005156859,"about_ca_topic_score_gemma":0.0003918099,"domain_scores_codex":[0.998593,0.000103544,0.0005768853,0.0001668855,0.000358265,0.0002014515],"domain_scores_gemma":[0.9986153,0.0002332676,0.0004701589,0.00006259456,0.0005000007,0.0001186969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003249843,0.00006346668,0.0006990357,0.00001613161,0.00003576162,0.000003123429,0.01331431,0.974039,0.004546372,0.001774628,0.0000138946,0.005169264],"study_design_scores_gemma":[0.04473399,0.006393079,0.3747833,0.00134542,0.002697445,0.00003162084,0.08399133,0.3123508,0.07701797,0.02170559,0.07121007,0.003739399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08354607,0.00006064741,0.9149309,0.0006910652,0.0003163874,0.0003159047,0.00002525689,0.00004225281,0.00007148396],"genre_scores_gemma":[0.607256,0.000106427,0.3922605,0.00007816641,0.0001943984,0.000006312846,0.00005634791,0.00001379296,0.00002803526],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6616883,"threshold_uncertainty_score":0.5050129,"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."}}