{"id":"W2003922624","doi":"10.1109/ccece.2014.6901145","title":"City traffic management model using Wireless Sensor Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Traffic congestion; Network traffic control; Floating car data; Traffic congestion reconstruction with Kerner's three-phase theory; Vehicle Information and Communication System; Computer network; Wireless sensor network; Transport engineering; Network congestion; Scheme (mathematics); Road traffic; Engineering","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":[0.0004629777,0.0008545919,0.0006841,0.0009152165,0.0006708934,0.00143554,0.00202507,0.001226049,0.003466684],"category_scores_gemma":[0.0008695,0.0004165187,0.0008568158,0.001115381,0.0006179867,0.00159081,0.0007440105,0.000838031,0.0004200121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792789,"about_ca_system_score_gemma":0.001171316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618926,"about_ca_topic_score_gemma":0.009362991,"domain_scores_codex":[0.9995178,0.0001126126,0.00002328432,0.0001432417,0.0001194321,0.00008378117],"domain_scores_gemma":[0.9996259,0.0001146956,0.00007321512,0.00001260816,0.0001453526,0.00002814759],"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":[0.00001415602,0.00001333827,0.0003572273,0.0000219765,0.00001290706,0.00005420531,0.00001994966,0.9883632,0.000347533,0.008737355,0.0003655493,0.001692669],"study_design_scores_gemma":[0.000002510943,0.00000887301,0.00007566813,0.000002023195,0.000004237234,0.00000738693,0.000008641296,0.9983891,0.00004359459,0.001184656,0.000270609,0.000002701979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1301406,0.001110538,0.8251195,0.00157707,0.0003488836,0.0002067396,0.001205385,0.0006168703,0.03967441],"genre_scores_gemma":[0.9583077,0.001096032,0.01595615,0.00009237239,0.00008170061,0.0003562018,0.00056835,0.0000479075,0.02349361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01618926,"threshold_uncertainty_score":0.03219008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154213939591487,"score_gpt":0.1914495799649996,"score_spread":0.1799074405690848,"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."}}