Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data

Safety Science

Volumn 63, Issue , 2014, Pages 50-56

  Yu, Rongjie ^b   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

^b TONGJI UNIVERSITY   (China)

Author keywords

Crash injury severity; Microscopic traffic data; Random parameter logit model; Support vector machine; Traffic safety

Indexed keywords

CRASH INJURY SEVERITY; EXPLANATORY VARIABLES; LOGIT MODELING; RANDOM FOREST MODELING; RANDOM PARAMETER MODEL; TRAFFIC DATA; TRAFFIC SAFETY; VARIANCE-COVARIANCE MATRICES;

COVARIANCE MATRIX; CURVE FITTING; DECISION TREES; MATHEMATICAL MODELS; METEOROLOGY; SUPPORT VECTOR MACHINES;

HIGHWAY ACCIDENTS;

ALGORITHM; ARTICLE; DISEASE CLASSIFICATION; INJURY SEVERITY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SEASONAL VARIATION; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; TEMPERATURE SENSITIVITY; TRAFFIC ACCIDENT; VISIBILITY; WEATHER;

EID: 84888249196     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2013.10.012     Document Type: Article

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