Using conditional inference forests to identify the factors affecting crash severity on arterial corridors

Journal of Safety Research

Volumn 40, Issue 4, 2009, Pages 317-327

  Das, Abhishek ^a   Abdel Aty, Mohamed ^a   Pande, Anurag ^b  

^a University of Central Florida   (United States)

^b CALIFORNIA POLYTECHNIC STATE UNIVERSITY   (United States)

Author keywords

Classification trees; Conditional inference trees and forests; Crash types; Multilane arterials; Severe crashes

Indexed keywords

CLASSIFICATION TREES; CONDITIONAL INFERENCE TREES AND FORESTS; CRASH TYPES; MULTILANE ARTERIALS; SEVERE CRASHES;

ACCESS CONTROL; LOCATION; STATISTICAL TESTS; TRAFFIC CONTROL;

SKID RESISTANCE;

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; CHILD; CLUSTER ANALYSIS; FEMALE; HUMAN; MALE; MIDDLE AGED; PRESCHOOL CHILD; RISK FACTOR; SEATBELT; STATISTICAL ANALYSIS; STATISTICAL MODEL; TRAFFIC ACCIDENT; UTILIZATION REVIEW;

ACCIDENTS, TRAFFIC; ADOLESCENT; ADULT; ALGORITHMS; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS; SEAT BELTS; YOUNG ADULT;

EID: 70349184595     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2009.05.003     Document Type: Article

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