Collision prediction models using multivariate Poisson-lognormal regression

Accident Analysis and Prevention

Volumn 41, Issue 4, 2009, Pages 820-828

  El Basyouny, Karim ^a   Sayed, Tarek ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Collision prediction models; Full Bayes estimation; Markov Chain Monte Carlo; Multivariate identification of hot spots; Multivariate lognormal distribution

Indexed keywords

COLLISION PREDICTION MODELS; FULL BAYES ESTIMATION; MARKOV CHAIN MONTE CARLO; MULTIVARIATE IDENTIFICATION OF HOT SPOTS; MULTIVARIATE LOGNORMAL DISTRIBUTION;

LOCATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; POISSON DISTRIBUTION; UNCERTAIN SYSTEMS;

POISSON EQUATION;

ARTICLE; BAYES THEOREM; CANADA; CAR; CAR DRIVING; HUMAN; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; AUTOMOBILES; BAYES THEOREM; BRITISH COLUMBIA; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICS AS TOPIC;

EID: 67349231302     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2009.04.005     Document Type: Article

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