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Evaluation of the Efficiency of Neural Networks and Statistical Models to Determine Daily Traffic Volume of the Suburban Roads of Mazandaran Province

Sepideh Gholampour Shahab Aldini1 * , Shahriar Afandizadeh Zargar2 and Seyed Mohammad Seyed Hoseini3

1 Department of Transportation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Civil Engineering Department, Iran University of Science and Technology, Iran

3 Professor Industrial Engineering Department, Iran University of Science and Technology, Iran

DOI: http://dx.doi.org/10.12944/CWE.10.Special-Issue1.28

Realizing the traffic volume at the present time is frequently one of the concerns that occupies the planners’ minds in transportation. Knowing the current volume plays an important role in reflecting the performance of transportation system in the future. Traffic studies are based on observations and interpretations of the current circumstances .Since the present observations cannot be represented for the future status, it should be predicted by means of determined conditions. Annual Average Daily Traffic is one the measure to be used for the traffic volume, which has been mentioned in the codes. The fixed or non-fixed automated counters serve to count this volume. In Iran, Road Maintenance & Transportation Organization is responsible to count daily through different ways. In the present study, the data collected from the selected axes of Mazandaran Province was utilized to make a predictive model for traffic volume. It is fitted by data, linear and logarithmic regression models and also neural network model.


Prediction of Traffic Volume; Linear Regression; Logarithmic Regression; Neural Network

Copy the following to cite this article:

Zargar S. A, Aldini S. G. S, Hoseini S. M. S. Evaluation of the Efficiency of Neural Networks and Statistical Models to Determine Daily Traffic Volume of the Suburban Roads of Mazandaran Province. Special Issue of Curr World Environ 2015;10(Special Issue May 2015). DOI:http://dx.doi.org/10.12944/CWE.10.Special-Issue1.28

Copy the following to cite this URL:

Zargar S. A, Aldini S. G. S, Hoseini S. M. S. Evaluation of the Efficiency of Neural Networks and Statistical Models to Determine Daily Traffic Volume of the Suburban Roads of Mazandaran Province. Special Issue of Curr World Environ 2015;10(Special Issue May 2015). Available from: http://www.cwejournal.org?p=668/

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