Investigating the different characteristics of weekday and weekend crashes

Journal of Safety Research

Volumn 46, Issue , 2013, Pages 91-97

  Yu, Rongjie ^a,b   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

^b TONGJI UNIVERSITY   (China)

Author keywords

Bayesian logistic regression; Mountainous freeway traffic safety; Multivariate; Poisson model; Random effects; Weekend crash

Indexed keywords

LOGISTIC REGRESSIONS; MOUNTAINOUS FREEWAY; MULTIVARIATE; POISSON MODEL; RANDOM EFFECTS; WEEKEND CRASH;

ACCIDENT PREVENTION; BAYESIAN NETWORKS; INFERENCE ENGINES; LOGISTICS; MATHEMATICAL MODELS; RANDOM PROCESSES;

REGRESSION ANALYSIS;

ACCELERATION; ARTICLE; BAYES THEOREM; COMPUTER SYSTEM; CROSS-SECTIONAL STUDY; HUMAN; MOUNTAINOUS FREEWAY TRAFFIC SAFETY; MULTIVARIATE POISSON MODEL; POISSON DISTRIBUTION; RANDOM EFFECTS BAYESIAN LOGISTIC REGRESSION; SAFETY; STATISTICAL MODEL; STATISTICS; TIME; TRAFFIC ACCIDENT; WEEKEND CRASH;

MOUNTAINOUS FREEWAY TRAFFIC SAFETY; MULTIVARIATE POISSON MODEL; RANDOM EFFECTS BAYESIAN LOGISTIC REGRESSION; WEEKEND CRASH;

ACCELERATION; ACCIDENTS, TRAFFIC; BAYES THEOREM; COMPUTER SYSTEMS; CROSS-SECTIONAL STUDIES; HUMANS; LOGISTIC MODELS; POISSON DISTRIBUTION; SAFETY; TIME FACTORS;

EID: 84879097852     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2013.05.002     Document Type: Article

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