Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees

Accident Analysis and Prevention

Volumn 61, Issue , 2013, Pages 107-118

  Chung, Yi Shih ^a  

^a KAINAN UNIVERSITY   (Taiwan)

Author keywords

Boosted regression trees; Crash classification; Machine learning; Motorcycle crashes

Indexed keywords

BOOSTED REGRESSION TREES; CLASSIFICATION AND REGRESSION TREE MODELS; CLASSIFICATION PERFORMANCE; EXTERNAL VALIDITIES; LOGISTIC REGRESSIONS; MOTORCYCLE CRASHES; NON-LINEAR RELATIONSHIPS; SOCIO-DEMOGRAPHIC FACTORS;

FORESTRY; LEARNING SYSTEMS; MOTORCYCLES; REGRESSION ANALYSIS; TREES (MATHEMATICS);

ACCIDENTS;

ACCIDENTS; CLASSIFICATION; FORESTRY; REGRESSION ANALYSIS; VEHICLES;

ARTICLE; BOOSTED REGRESSION TREES; CRASH CLASSIFICATION; FEMALE; HUMAN; MACHINE LEARNING; MALE; MOTORCYCLE; MOTORCYCLE CRASHES; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; RISK FACTOR; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

BOOSTED REGRESSION TREES; CRASH CLASSIFICATION; MACHINE LEARNING; MOTORCYCLE CRASHES;

ACCIDENTS, TRAFFIC; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MOTORCYCLES; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; RISK FACTORS;

EID: 84888287177     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.08.015     Document Type: Article

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