Multi-level Bayesian safety analysis with unprocessed Automatic Vehicle Identification data for an urban expressway

Accident Analysis and Prevention

Volumn 88, Issue , 2016, Pages 68-76

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

^a University of Central Florida   (United States)

^b TONGJI UNIVERSITY   (China)

Author keywords

Automatic Vehicle Identification; Bayesian inference; Multi level model; Random parameters; Urban expressway safety

Indexed keywords

BAYESIAN NETWORKS; BINS; CRASHWORTHINESS; DISPENSERS; GEOMETRY; INFERENCE ENGINES; LICENSE PLATES (AUTOMOBILE); TRAFFIC CONTROL; VEHICLES;

BAYESIAN INFERENCE; GEOMETRIC CHARACTERISTICS; GEOMETRIC INFORMATION; HIERARCHICAL DATA STRUCTURE; MULTILEVEL MODEL; NEGATIVE BINOMIAL MODELS; RANDOM PARAMETERS; URBAN EXPRESSWAY;

AUTOMATIC VEHICLE IDENTIFICATION;

BAYES THEOREM; CAR; CAR DRIVING; ENVIRONMENTAL PLANNING; FLORIDA; HUMAN; MULTILEVEL ANALYSIS; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; AUTOMOBILES; BAYES THEOREM; ENVIRONMENT DESIGN; FLORIDA; HUMANS; MODELS, STATISTICAL; MULTILEVEL ANALYSIS; SAFETY;

EID: 84951309692     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.12.007     Document Type: Article

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