Finite mixture modeling for vehicle crash data with application to hotspot identification

Accident Analysis and Prevention

Volumn 71, Issue , 2014, Pages 319-326

  Park, Byung Jung ^a   Lord, Dominique ^b   Lee, Chungwon ^c  

^a Myong Ji University   (South Korea)

^b Department of Electrical and Computer Engineering   (United States)

^c Seoul National University   (South Korea)

Author keywords

False positive and negative; Finite mixture model; Hotspot identification; Negative binomial; Overdispersion; Vehicle crash data

Indexed keywords

HIGHWAY ACCIDENTS; HIGHWAY ENGINEERING; MIXTURES; REGRESSION ANALYSIS;

FALSE POSITIVE; FINITE MIXTURE MODELING; HOT SPOT; NEGATIVE BINOMIAL; OVERDISPERSION; VEHICLE CRASHES;

COMPUTER SIMULATION;

BINOMIAL DISTRIBUTION; FINITE ELEMENT ANALYSIS; HUMAN; REGRESSION ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; BINOMIAL DISTRIBUTION; CALIFORNIA; FINITE ELEMENT ANALYSIS; HUMANS; MODELS, STATISTICAL; REGRESSION ANALYSIS; TEXAS;

EID: 84903703127     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.05.030     Document Type: Article

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