Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models

Accident Analysis and Prevention

Volumn 117, Issue , 2018, Pages 106-113

  Ahmed, Mohamed M ^a   Franke, Rebecca ^b   Ksaibati, Khaled ^c   Shinstine, Debbie S ^c  

^a UNIVERSITY OF WYOMING   (United States)

^b Montana Department of Transportation   (United States)

^c Wyoming Technology Transfer Center   (United States)

Author keywords

Bayesian logit model; Heavy truck safety; Inclement weather; Injury severity; Oil and gas

Indexed keywords

BAYESIAN NETWORKS; FREIGHT TRANSPORTATION; HIGHWAY ENGINEERING; ROADS AND STREETS; TRUCKS;

HEAVY TRUCK; INCLEMENT WEATHERS; INJURY SEVERITY; LOGIT MODELING; OIL AND GAS;

HIGHWAY ACCIDENTS;

BAYES THEOREM; CLASSIFICATION; HUMAN; INJURY; INJURY SCALE; MOTOR VEHICLE; RURAL POPULATION; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; WEATHER; WYOMING;

ACCIDENTS, TRAFFIC; BAYES THEOREM; HUMANS; INJURY SEVERITY SCORE; LOGISTIC MODELS; MOTOR VEHICLES; RURAL POPULATION; WEATHER; WOUNDS AND INJURIES; WYOMING;

EID: 85045768463     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2018.04.011     Document Type: Article

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