Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

Accident Analysis and Prevention

Volumn 135, Issue , 2020, Pages

  Boggs, Alexandra M ^a   Wali, Behram ^b   Khattak, Asad J ^a  

^a University of Tennessee   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Automated vehicles; Bayesian binary logit; Crashes; Prior elicitation; Random parameter

Indexed keywords

AUTOMATION; AUTOMOBILE MANUFACTURE; LAND USE; VEHICLES;

AUTOMATED VEHICLES; BINARY LOGIT; CRASHES; PRIOR ELICITATION; RANDOM PARAMETERS;

ACCIDENTS;

BAYES THEOREM; CALIFORNIA; CAR DRIVING; CLASSIFICATION; HUMAN; STATISTICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; BAYES THEOREM; BUILT ENVIRONMENT; CALIFORNIA; HUMANS; LOGISTIC MODELS;

EID: 85075627893     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2019.105354     Document Type: Article

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