{"id":"W3102129050","doi":"10.1109/tvt.2020.3037239","title":"A Joint Design of Platoon Communication and Control Based on LTE-V2V","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Traffic control and management","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization; Ng Teng Fong Charitable Foundation; National Natural Science Foundation of China","keywords":"Platoon; Engineering; Controller (irrigation); Position (finance); Scheme (mathematics); Computer science; Control (management); Control engineering; Automotive engineering; Simulation; Artificial intelligence","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":[0.0004523655,0.0006353075,0.0003766812,0.0002915476,0.0004774279,0.0005094158,0.0008199008,0.0004419888,0.0007308407],"category_scores_gemma":[0.0007183618,0.0001955919,0.0003281604,0.0002049494,0.000388702,0.0004266172,0.0006754517,0.0004594634,0.0002052095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005171364,"about_ca_system_score_gemma":0.001222892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412282,"about_ca_topic_score_gemma":0.006649104,"domain_scores_codex":[0.9994174,0.0001192503,0.00003761794,0.0001322541,0.0001931772,0.0001003095],"domain_scores_gemma":[0.9996569,0.0000517238,0.0000583247,0.00005147942,0.0001519041,0.00002964413],"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":[0.0003925886,0.000140137,0.002613158,0.0002062044,0.0001241029,0.0004415402,0.0003070761,0.639872,0.07572357,0.02732077,0.004570347,0.2482886],"study_design_scores_gemma":[0.00002956317,0.0002360872,0.0003384584,0.00000873723,0.00002317533,0.00009408891,0.00002490297,0.9886933,0.00636047,0.001849181,0.002326551,0.00001545245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01376109,0.0002152733,0.9823331,0.0001169663,0.00007361755,0.00008640796,0.00002433546,0.0004484167,0.0029408],"genre_scores_gemma":[0.9416142,0.0001508079,0.05631534,0.000103066,0.00004106175,0.0001611562,0.00005665852,0.00001496597,0.0015428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006412282,"threshold_uncertainty_score":0.01274991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262115132176784,"score_gpt":0.1822919519462764,"score_spread":0.1696708006245085,"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."}}