Using a reliability process to reduce uncertainty in predicting crashes at unsignalized intersections

Accident Analysis and Prevention

Volumn 42, Issue 2, 2010, Pages 654-666

  Haleem, Kirolos ^a   Abdel Aty, Mohamed ^a   Mackie, Kevin ^a  

^a University of Central Florida   (United States)

Author keywords

3 Legged unsignalized intersection; 4 Legged unsignalized intersection; Bayesian updating; Crash prediction; Negative binomial model; Reliability

Indexed keywords

AKAIKE INFORMATION CRITERION; BAYESIAN; BAYESIAN METHODS; BAYESIAN MODEL; BAYESIAN UPDATING; BEST ESTIMATES; COVARIATES; CRASH FREQUENCY; CRASH PREDICTION; FLORIDA; INFORMATIVE PRIORS; LIKELIHOOD FUNCTIONS; MEAN SQUARE; MEASURING UNCERTAINTY; MODEL PARAMETERS; NEGATIVE BINOMIAL; NON-INFORMATIVE PRIOR; PARAMETER ESTIMATE; PREDICTION ACCURACY; PREDICTION ERRORS; PROBABILISTIC MODELS; RELIABILITY METHODS; RELIABILITY PROCESS; STANDARD ERRORS; STRUCTURE MODELS; TRAFFIC SAFETY; UNSIGNALIZED INTERSECTIONS;

HIGH ENERGY PHYSICS; INTERSECTIONS; MATHEMATICAL MODELS; RELIABILITY; STANDARDS; TRAFFIC CONTROL; UNCERTAINTY ANALYSIS;

BAYESIAN NETWORKS;

ARTICLE; BAYES THEOREM; ENVIRONMENTAL PLANNING; HUMAN; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNCERTAINTY;

ACCIDENTS, TRAFFIC; BAYES THEOREM; ENVIRONMENT DESIGN; HUMANS; MODELS, STATISTICAL; UNCERTAINTY;

EID: 76049088048     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2009.10.012     Document Type: Article

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