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Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and Distraction.
Fan, Chaojie; Huang, Shufang; Lin, Shuxiang; Xu, Diya; Peng, Yong; Yi, Shengen.
Afiliação
  • Fan C; Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China.
  • Huang S; Joint International Research Laboratory of Key Technology for Rail Traffic Safety, Central South University, Changsha, China.
  • Lin S; Hunan Industry Polytechnic, Changsha, China.
  • Xu D; Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China.
  • Peng Y; Joint International Research Laboratory of Key Technology for Rail Traffic Safety, Central South University, Changsha, China.
  • Yi S; Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China.
Comput Intell Neurosci ; 2022: 8328077, 2022.
Article em En | MEDLINE | ID: mdl-35371223
ABSTRACT
Train drivers' inattention, including fatigue and distraction, impairs their ability to drive and is the major risk factor for human-caused train accidents. Many experts have undertaken numerous studies on train driver exhaustion and distraction, but a systematic study is still missing. Through a systematic review, this work aims to outline the types, risk factors, consequences, and detection methods of train driver fatigue and distraction. The effects of central nervous fatigue and cognitive distraction in train drivers during driving are caused by rest and sleep schedules, workload, automation levels, and mobile phones. Furthermore, train drivers' fatigue and distraction can cause loss of concentration and slow reaction, resulting in dangerous driving behaviour such as speeding and SPAD. Researchers have combined subjective reporting, physiological parameters, and physical factors to construct detection algorithms with good results to detect train driver fatigue and distraction. This review offers recommendations for researchers looking into train driver fatigue and distraction. And it can also make valuable recommendations for future studies about railway traffic safety.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Condução de Veículo / Fadiga Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Comput Intell Neurosci Assunto da revista: INFORMATICA MEDICA / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Condução de Veículo / Fadiga Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Comput Intell Neurosci Assunto da revista: INFORMATICA MEDICA / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China