Safety analytics for integrating crash frequency and real-time risk modeling for expressways

Accident Analysis and Prevention

Volumn 104, Issue , 2017, Pages 58-64

  Wang, Ling ^a   Abdel Aty, Mohamed ^a   Lee, Jaeyoung ^a  

^a University of Central Florida   (United States)

Author keywords

Average daily standard deviation of speed; Crash frequency analysis; Expected crash frequency; Integrated model; Real time safety analysis

Indexed keywords

RISK PERCEPTION; SAFETY ENGINEERING; STATISTICS; TRAFFIC CONTROL;

CONTRIBUTING FACTOR; CRASH FREQUENCY; INTEGRATED MODELING; REAL TIME MODELING; REAL-TIME CRASH RISKS; REAL-TIME MODELS; REAL-TIME SAFETY ANALYSIS; STANDARD DEVIATION;

CRASHWORTHINESS;

ACCELERATION; ALGORITHM; BAYES THEOREM; ENGINEERING; FLORIDA; HUMAN; MORTALITY; PREVENTION AND CONTROL; PROCEDURES; REPRODUCIBILITY; RISK ASSESSMENT; SAFETY; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT;

ACCELERATION; ACCIDENTS, TRAFFIC; ALGORITHMS; BAYES THEOREM; ENGINEERING; FLORIDA; HUMANS; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SAFETY;

EID: 85018349829     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2017.04.009     Document Type: Article

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