Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level

Accident Analysis and Prevention

Volumn 72, Issue , 2014, Pages 210-218

  Wu, Kun Feng ^a   Aguero Valverde, Jonathan ^b   Jovanis, Paul P ^c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b UNIVERSIDAD DE COSTA RICA   (Costa Rica)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Multivariate Poisson log normal models; Naturalistic driving data; Safety related events; Surrogate events

Indexed keywords

ACCIDENT PREVENTION; MOTOR TRANSPORTATION; OFF ROAD VEHICLES; ROADS AND STREETS; TRAFFIC CONTROL;

LOG-NORMAL MODEL; NATURALISTIC DRIVING DATA; NATURALISTIC DRIVING STUDIES; OBSERVATIONAL STUDY; POSITIVE CORRELATIONS; ROAD SAFETY ANALYSIS; SAFETY-RELATED EVENTS; SURROGATE EVENTS;

ACCIDENTS;

ADOLESCENT; ADULT; AGE; AGED; BAYES THEOREM; CAR DRIVING; FEMALE; HUMAN; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADOLESCENT; ADULT; AGE FACTORS; AGED; AUTOMOBILE DRIVING; BAYES THEOREM; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; YOUNG ADULT;

EID: 84905389750     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.07.005     Document Type: Article

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