Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 1 | Page No.: 146-151
DOI: 10.3923/jas.2008.146.151
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

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.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Investigation of Capacity Behaviors by Linear and Nonlinear Models Chemometrics
  •    Neural Network Models for Predicting Shear Strength of Reinforced Normal and High-strength Concrete Deep Beams
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

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom