A data mining approach to identify key factors of traffic injury severity

Promet - Traffic and Transportation

Volumn 23, Issue 1, 2011, Pages 11-17

  Kashani, Ali Tavakoli ^a   Shariat Mohaymany, Afshin ^a   Ranjbari, Andishe ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Classification and regression trees (CART); Data mining; Injury severity; Traffic safety; Variable importance measure (VIM)

Indexed keywords

ACCIDENT PREVENTION; REGRESSION ANALYSIS; RURAL ROADS; TREES (MATHEMATICS);

CLASSIFICATION AND REGRESSION TREE; CRASH DATA; DATA-MINING TOOLS; IMPORTANCE MEASURE; INJURY SEVERITY; KEY FACTORS; SAFETY IMPROVEMENT; SEAT BELT; TRAFFIC CRASHES; TRAFFIC INJURIES; TRAFFIC SAFETY; TWO-LANE; VARIABLE IMPORTANCE MEASURE (VIM); VARIABLE SELECTION;

DATA MINING;

ACCIDENT; DATA INTERPRETATION; DATA MINING; INJURY; RURAL AREA; SAFETY; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT;

IRAN;

EID: 79952583678     PISSN: 03535320     EISSN: None     Source Type: Journal    
DOI: 10.7307/ptt.v23i1.144     Document Type: Article

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