Neural Networks based modelling of traffic accidents in interurban rural highways, Düzce sampling
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Dosyalar
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Asian Network for Scientific Information
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, alternatively, Artificial Neural Network (ANN) based modelling of traffic accidents on two line interurban rural highways in terms of number of accidents, injuries and dead have been presented. This study was conducted for D100/11 state highway section in Düzce. In this section of the highway, totally 783 traffic accidents occurred and 1396 vehicles involved in these accidents between 2002 and 2006 years. Using traffic accident reports data, ANN was applied for modelling of traffic accidents with respect to distance and months. As a result, it was observed that there was a perfect fit between the simulation results and actual data of accidents and the created neural network model of accidents resembles the actual data. Therefore, the developed model could be an alternative method for predictions of traffic accidents on interurban rural highways. © 2008 Asian Network for Scientific Information.
Açıklama
Anahtar Kelimeler
Analysis; ANN; Data mining; Identification; Simulation; Traffic accidents
Kaynak
Journal of Applied Sciences
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
8
Sayı
1
