Quantitative characterization of AEB pulses across the modern fleet.

Graci, V; Maltenfort, M; Schneider, M; Griffith, M; Seacrist, T; Arbogast, K B

Graci, V; Maltenfort, M; Schneider, M; Griffith, M; Seacrist, T; Arbogast, K B.

Afiliação

Graci V; Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Maltenfort M; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Schneider M; Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Griffith M; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana.
Seacrist T; Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Arbogast KB; Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Traffic Inj Prev ; 22(sup1): S62-S67, 2021.

Article em En | MEDLINE | ID: mdl-34477482

Assuntos

Desaceleração; Equipamentos de Proteção; Aceleração; Acidentes de Trânsito/prevenção & controle; Humanos; Tecnologia

Palavras-chave

Pre-crash; cluster; jerk; machine learning; maximum deceleration; ramp-time

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Equipamentos de Proteção / Desaceleração Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Traffic Inj Prev Ano de publicação: 2021 Tipo de documento: Article

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