{"id":"W3189428625","doi":"10.1155/2021/3584569","title":"Traffic Signal Optimization under Connected-Vehicle Environment: An Overview","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Computer science; Traffic flow (computer networking); Field (mathematics); SIGNAL (programming language); Smoothing; Control engineering; Control (management); Operations research; Real-time computing; Industrial engineering; Artificial intelligence; Engineering; Computer security","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":[0.0005751876,0.0009676155,0.001006623,0.001427783,0.0003318843,0.001938025,0.001014059,0.001396489,0.001928608],"category_scores_gemma":[0.0009056674,0.0004379775,0.0008957918,0.002493099,0.0006345257,0.001942505,0.0008411498,0.001352925,0.0005571311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008976182,"about_ca_system_score_gemma":0.0008904188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398884,"about_ca_topic_score_gemma":0.001324562,"domain_scores_codex":[0.9995427,0.0001042322,0.00003362646,0.0001235311,0.000156105,0.00003981878],"domain_scores_gemma":[0.9996512,0.0001838312,0.00003338896,0.0000176922,0.00009440922,0.00001948557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008008274,0.0003537837,0.002679662,0.006398645,0.0002666543,0.0006090521,0.0002847696,0.2546999,0.002018749,0.3799382,0.01713965,0.3355308],"study_design_scores_gemma":[0.0000180945,0.0003482551,0.002820378,0.0014307,0.0001982803,0.0008294074,0.0002491956,0.6267961,0.001193453,0.1966136,0.1693906,0.0001119548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01045826,0.5446309,0.3862637,0.002410812,0.0009295896,0.00009157045,0.0002015733,0.0001521273,0.05486148],"genre_scores_gemma":[0.230684,0.7053232,0.05012492,0.000791978,0.003851451,0.0001768781,0.000347878,0.00007528559,0.008624411],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003398884,"threshold_uncertainty_score":0.006758213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034613802497114,"score_gpt":0.2111554711759465,"score_spread":0.2008093331509753,"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."}}