Application of generalized link functions in developing accident prediction models

Safety Science

Volumn 48, Issue 3, 2010, Pages 410-416

  El Basyouny, Karim ^a   Sayed, Tarek ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Canonical link; Full Bayes estimation; Generalized link; Markov Chain Monte Carlo; Poisson gamma hierarchy

Indexed keywords

ACCIDENT PREDICTION MODEL; BAYES ESTIMATION; BAYES FACTOR; BAYES METHOD; BAYESIAN; COVARIATES; EDMONTON , ALBERTA; HEAVY TRAFFICS; LIGHT FLOW; LINK MODEL; MARKOV CHAIN MONTE CARLO; MISSPECIFICATION; NEGATIVE BINOMIAL DISTRIBUTION; PERFORMANCE EVALUATION; ROAD AUTHORITIES; STANDARD PRACTICES; TRAFFIC VOLUME DATA;

ACCIDENTS; HIGH ENERGY PHYSICS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; POISSON EQUATION; STANDARDIZATION; TRAFFIC CONTROL;

POISSON DISTRIBUTION;

ACCIDENT PREVENTION; ACCIDENT PRONENESS; ARTICLE; BAYES THEOREM; BINOMIAL DISTRIBUTION; CANADA; COMPUTER PREDICTION; COMPUTER SIMULATION; CONTROLLED STUDY; MONTE CARLO METHOD; PRIORITY JOURNAL; TRAFFIC ACCIDENT; TRAFFIC AND TRANSPORT; TRAFFIC SAFETY;

EID: 75149159968     PISSN: 09257535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ssci.2009.09.007     Document Type: Article

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