Traffic Volume Forecasting Model by using Elasticity Method and Exponential Smooth Model for Main National Roads of Rwanda

Authors

  • Mathieu Ntakiyemungu Masters Candidate at Wuhan University of Technology. Major: Highway and Railway engineering
  • Hang Zhang

Keywords:

Elasticity method, traffic forecasting, smooth, national roads, Rwanda

Abstract

The accuracy in traffic forecasting helps the planners to have a good plan about the highways as the forecasting volume has been recognized as one of the factors that involve in the analysis of highway planning, reconstruction, new construction as well as maintenance. This paper presents the models to forecast the selected main roads in Rwanda by comparing two methods: elastic method and exponential smooth model. This study shows that the traffic forecasting by using exponential smooth model can overestimate and doesn’t consider the demographic as well as economic variables and shows that the elastic model is a best method to estimate and forecast the traffic volume as it combines the demographic data as well as the economic ones but the rate is slow. The best estimate is the combination of the two methods.

References

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Published

2015-02-15

How to Cite

Ntakiyemungu, M., & Zhang, H. (2015). Traffic Volume Forecasting Model by using Elasticity Method and Exponential Smooth Model for Main National Roads of Rwanda. Asian Journal of Applied Sciences, 3(1). Retrieved from https://ajouronline.com/index.php/AJAS/article/view/2076

Issue

Vol. 3 No. 1 (2015): February 2015

Section

Articles

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