Using support vector machine models for crash injury severity analysis

Accident Analysis and Prevention

Volumn 45, Issue , 2012, Pages 478-486

  Li, Zhibin ^a   Liu, Pan ^a   Wang, Wei ^a   Xu, Chengcheng ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Crash severity; Freeway diverge area; Ordered probit model; Support vector machine model

Indexed keywords

CRASH DATA; CRASH INJURY SEVERITY; CRASH SEVERITY; DATA SETS; EXTERNAL FACTORS; FREEWAY DIVERGE AREA; INJURY SEVERITY; MULTICLASS CLASSIFICATION PROBLEMS; ORDERED PROBIT MODEL; PREDICTION PERFORMANCE; RESEARCH TEAMS; SEVERAL VARIABLES; SUPPORT VECTOR; SUPPORT VECTOR MACHINE MODEL; SVM MODEL;

FORECASTING; HIGHWAY ACCIDENTS; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS;

SUPPORT VECTOR MACHINES;

ARTICLE; CLASSIFICATION; ENVIRONMENTAL PLANNING; HUMAN; INJURY; INJURY SCALE; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS; SUPPORT VECTOR MACHINE; SYSTEM ANALYSIS; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; ENVIRONMENT DESIGN; FLORIDA; HUMANS; MODELS, STATISTICAL; PROBABILITY THEORY; RISK ASSESSMENT; STATISTICS AS TOPIC; SUPPORT VECTOR MACHINES; TRAUMA SEVERITY INDICES; WOUNDS AND INJURIES;

EID: 84856080826     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2011.08.016     Document Type: Article

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