{"id":"W4410282424","doi":"10.1007/s11760-025-04210-8","title":"Real-time traffic signal adjustment using YOLOv8 for improved integration of emergency vehicles in smart traffic systems","year":2025,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Emergency vehicle; Computer science; Real-time computing; Traffic signal; SIGNAL (programming language)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001236425,0.0003146911,0.0002267375,0.0003022092,0.000188131,0.0002625198,0.0004194013,0.0002345232,0.003146079],"category_scores_gemma":[0.0002166376,0.0001492822,0.0001274361,0.0002154291,0.0000856859,0.0003212331,0.0002523431,0.0001992027,0.0006428509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164072,"about_ca_system_score_gemma":0.0002393235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132849,"about_ca_topic_score_gemma":0.002732298,"domain_scores_codex":[0.9998859,0.0000129046,0.000004598741,0.00003117725,0.00004371328,0.00002164612],"domain_scores_gemma":[0.9999182,0.000009928005,0.00001036439,0.000007093683,0.00004641022,0.000007991958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001624951,0.0003062407,0.009672825,0.0001715083,0.00005195618,0.0002638895,0.00022456,0.01578636,0.6394178,0.001136179,0.003596165,0.3277475],"study_design_scores_gemma":[0.0001207067,0.0009173774,0.02569998,0.00003106379,0.0001226653,0.0003177842,0.0001857245,0.5221243,0.4286913,0.0003521756,0.02136113,0.00007578555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246812,0.0003096224,0.1646411,0.000149308,0.0002392875,0.00006864089,0.0002353421,0.002281725,0.007393758],"genre_scores_gemma":[0.9651972,0.00007460122,0.0302841,0.00003844862,0.00002570737,0.00002930945,0.0002367656,0.00006297498,0.004050905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003146079,"threshold_uncertainty_score":0.01052469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443001879649056,"score_gpt":0.2636362487546836,"score_spread":0.249206229958193,"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."}}