{"id":"W4403752411","doi":"10.1016/j.trc.2024.104882","title":"Airspace network design for urban UAV traffic management with congestion","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Traffic congestion; Transport engineering; Network planning and design; Computer science; Congestion management; Traffic optimization; Floating car data; Engineering; Computer network","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":[0.0005080838,0.0007194802,0.0003957845,0.000683994,0.000587501,0.001181033,0.0006379681,0.0006789105,0.00286518],"category_scores_gemma":[0.001390436,0.0003457141,0.0004812974,0.0006105399,0.0005851982,0.0008326775,0.0007822817,0.0004542076,0.000209494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077017,"about_ca_system_score_gemma":0.001526426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718935,"about_ca_topic_score_gemma":0.02196896,"domain_scores_codex":[0.9996009,0.0001574525,0.00001162491,0.00006649891,0.00008915527,0.00007434723],"domain_scores_gemma":[0.9995029,0.0002039485,0.00007636408,0.00002921201,0.0001375134,0.00005009068],"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":[0.00001158703,0.00001041351,0.0003742161,0.00001526064,0.000004036909,0.00002644887,0.00001903128,0.9933422,0.0008173654,0.002132954,0.0001625013,0.003083867],"study_design_scores_gemma":[0.000004626202,0.0000268922,0.000180473,0.000004235047,0.000004517489,0.00001199414,0.00004463643,0.9974551,0.0003864079,0.001215931,0.0006618025,0.000003354015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2565199,0.000342313,0.7195457,0.0003236987,0.0000647831,0.0003251215,0.0004325664,0.0003753291,0.02207059],"genre_scores_gemma":[0.9113952,0.0002021673,0.08526075,0.00003968247,0.000008973605,0.0001821137,0.0002030954,0.00005837157,0.002649703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01718935,"threshold_uncertainty_score":0.03417861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410837140846294,"score_gpt":0.2929645943763245,"score_spread":0.2518808802916951,"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."}}