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Volumn 6, Issue 2, 2011, Pages 244-254

Modeling of monthly traffic accidents with the artificial neural network method

Author keywords

Artificial Neural Network; Statistical analyses; Traffic accident analyses

Indexed keywords


EID: 79956340134     PISSN: 19921950     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (14)
  • 1
    • 79956365057 scopus 로고    scopus 로고
    • Traffic flow control with Artifical Neural Network
    • Kocaeli
    • Altun I, Dündar S (2005). Traffic flow control with Artifical Neural Network. Earthquake Symposium. Kocaeli.
    • (2005) Earthquake Symposium
    • Altun, I.1    Dündar, S.2
  • 4
    • 33644889643 scopus 로고    scopus 로고
    • Identifying significant predictors of injury severty in traffic accidents using a series of artifical neural ntworks
    • Delen D, Sharda R, Bessonov M (2005). Identifying significant predictors of injury severty in traffic accidents using a series of artifical neural ntworks. Accid. Anal. Prev., 38: 434-444.
    • (2005) Accid. Anal. Prev. , vol.38 , pp. 434-444
    • Delen, D.1    Sharda, R.2    Bessonov, M.3
  • 5
    • 33645772726 scopus 로고    scopus 로고
    • Forecasting Traffic Accidents Using Diaggregated Data
    • Ferrer A, Juan G, Poncela P (2006). Forecasting Traffic Accidents Using Diaggregated Data. Int. J. Forecast., 22: 203-222.
    • (2006) Int. J. Forecast. , vol.22 , pp. 203-222
    • Ferrer, A.1    Juan, G.2    Poncela, P.3
  • 6
    • 60849104783 scopus 로고    scopus 로고
    • Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling
    • Firat M, Yurdusev MA, Turan ME (2009). Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling. Water Resour. Manage., 23(4): 617-632.
    • (2009) Water Resour. Manage. , vol.23 , Issue.4 , pp. 617-632
    • Firat, M.1    Yurdusev, M.A.2    Turan, M.E.3
  • 8
    • 68049112473 scopus 로고    scopus 로고
    • Neural networks and wavelet conjunction model for intermittent streamflow forecasting
    • Kisi O (2009). Neural networks and wavelet conjunction model for intermittent streamflow forecasting. ASCE J. Hydrol. Eng., 14(8): 773-782.
    • (2009) ASCE J. Hydrol. Eng. , vol.14 , Issue.8 , pp. 773-782
    • Kisi, O.1
  • 11
    • 51749111064 scopus 로고    scopus 로고
    • Time Series Count Models: An Empirical Applicaiton To Traffic Accidents
    • Quddus AM (2008). Time Series Count Models: An Empirical Applicaiton To Traffic Accidents. Accid. Anal. Prev., 40: 1732-1741.
    • (2008) Accid. Anal. Prev. , vol.40 , pp. 1732-1741
    • Quddus, A.M.1
  • 14
    • 79956362242 scopus 로고    scopus 로고
    • WHO (World Report on Road Traffic Injury Prevention), TUİK, (2008-2009)
    • WHO (World Report on Road Traffic Injury Prevention) (2004). TUİK, www.tuik.gov.tr (2008-2009).
    • (2004)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.