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Volumn 36, Issue , 2009, Pages 223-228

Crash severity modeling in urban highways using backward regression method

Author keywords

Backward regression; Crash severity; Speed; Urban highways

Indexed keywords

BACKWARD REGRESSION; BINARY LOGIT MODEL; CRASH SEVERITY; DRIVER AGE; FLOW SPEED; FRONTAL IMPACTS; HIGHWAY SAFETY; INFLUENTIAL FACTORS; INTERSECTION SAFETY; MULTI-VEHICLES; REVERSE GEARS; TRAFFIC FEATURES; TRAFFIC VOLUMES; URBAN HIGHWAYS; VEHICLE COLLISIONS; WEATHER CONDITIONS;

EID: 78651575329     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (13)
  • 9
    • 1842480288 scopus 로고    scopus 로고
    • Predicting injury severity levels in traffic crashes: A modeling comparison
    • M. A. Abdel-Aty and H. T. Abdelwahab, "Predicting injury severity levels in traffic crashes: a modeling comparison, " J. Transp. Eng. vol. 130, no. 2, pp. 204-210, 2004.
    • (2004) J. Transp. Eng. , vol.130 , Issue.2 , pp. 204-210
    • Abdel-Aty, M.A.1    Abdelwahab, H.T.2
  • 10
    • 33644889643 scopus 로고    scopus 로고
    • Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks
    • D. Delen, R. Sharda and M. Bessonov, "Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks, " Accident Analysis and Prevention, vol. 38, pp. 434-444, 2006.
    • (2006) Accident Analysis and Prevention , vol.38 , pp. 434-444
    • Delen, D.1    Sharda, R.2    Bessonov, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.