Dynamic compositional modeling of pedestrian crash counts on urban roads in Connecticut

Accident Analysis and Prevention

Volumn 64, Issue , 2014, Pages 78-85

  Serhiyenko, Volodymyr ^a   Ivan, John N ^a   Ravishanker, Nalini ^a   Islam, Md Saidul ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Box Cox transformation; Compositional time series; Dynamic Generalized Linear Models; Injury severity levels; Pedestrian safety; Vector autoregressive (VAR) models

Indexed keywords

BOX COX TRANSFORMATION; COMPOSITIONAL ANALYSIS; COMPOSITIONAL MODELING; DEPENDENT MULTIVARIATE DATA; GENERALIZED LINEAR MODEL; INJURY SEVERITY; SCIENCE AND ENGINEERING; VECTOR AUTOREGRESSIVE MODEL;

AGGREGATES; DYNAMIC MODELS; FORECASTING; PEDESTRIAN SAFETY; REGRESSION ANALYSIS; TIME SERIES; VALUE ENGINEERING;

ACCIDENTS;

ARTICLE; BOX-COX TRANSFORMATION; COMPOSITIONAL TIME SERIES; DYNAMIC GENERALIZED LINEAR MODELS; HUMAN; INJURY SCALE; INJURY SEVERITY LEVELS; PEDESTRIAN SAFETY; STATISTICAL MODEL; STATISTICS; TIME; TRAFFIC ACCIDENT; UNITED STATES; VECTOR AUTOREGRESSIVE (VAR) MODELS;

BOX-COX TRANSFORMATION; COMPOSITIONAL TIME SERIES; DYNAMIC GENERALIZED LINEAR MODELS; INJURY SEVERITY LEVELS; PEDESTRIAN SAFETY; VECTOR AUTOREGRESSIVE (VAR) MODELS;

ACCIDENTS, TRAFFIC; CONNECTICUT; HUMANS; LINEAR MODELS; MODELS, STATISTICAL; TIME FACTORS; TRAUMA SEVERITY INDICES;

EID: 84890277164     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2013.11.006     Document Type: Article

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