Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors

Accident Analysis and Prevention

Volumn 50, Issue , 2013, Pages 371-376

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

^a University of Central Florida   (United States)

Author keywords

Bayesian inference; Mountainous freeway safety; Real time weather data and random effect model

Indexed keywords

ACTIVE TRAFFIC MANAGEMENTS; ADVERSE WEATHER; BAYESIAN INFERENCE; CRASH DATA; CRASH FREQUENCY; CRASH TYPE; FREEWAY CRASHES; GEOMETRIC CHARACTERISTICS; INFORMATION CRITERION; MOUNTAINOUS FREEWAY; MULTI-VEHICLES; OCCURRENCE MODEL; POISSON MODEL; RANDOM EFFECTS; TRAFFIC DATA; TRAFFIC VARIABLES; WEATHER CONDITIONS; WEATHER INFORMATION;

ADVANCED TRAFFIC MANAGEMENT SYSTEMS; BAYESIAN NETWORKS; INFERENCE ENGINES; METEOROLOGY; RANDOM PROCESSES;

HIGHWAY ACCIDENTS;

ALTITUDE; ARTICLE; BAYES THEOREM; CAR DRIVING; ENVIRONMENT; HUMAN; POISSON DISTRIBUTION; RISK FACTOR; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES; WEATHER;

ACCIDENTS, TRAFFIC; ALTITUDE; AUTOMOBILE DRIVING; BAYES THEOREM; COLORADO; ENVIRONMENT; HUMANS; POISSON DISTRIBUTION; RISK FACTORS; WEATHER;

EID: 84870300943     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.05.011     Document Type: Article

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