
	Journal of Applied Sciences
	Year: 2008 \| Volume: 8 \| Issue: 1 \| Page No.: 146-151 DOI: 10.3923/jas.2008.146.151

Neural Networks Based Modelling of Traffic Accidents in Interurban Rural Highways, Duzce Sampling

Ercan Ozgan and Recep Demirci

Abstract: 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 Duzce. 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.

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How to cite this article:

Ercan Ozgan and Recep Demirci, 2008. Neural Networks Based Modelling of Traffic Accidents in Interurban Rural Highways, Duzce Sampling. Journal of Applied Sciences, 8: 146-151.

DOI: 10.3923/jas.2008.146.151

URL: https://scialert.net/abstract/?doi=jas.2008.146.151

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