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Published: Građevinar 68 (2016) 8
Paper type: Preliminary report
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Impact of pavement condition on passenger car traffic

Ahmed Semeida, Mohamed El-Shabrawy

Abstract

The present paper explores the influence of pavement condition, roughness, and longitudinal grade on the operating speed (V85) of passenger car traffic at multi-lane roads. The pavement condition is described as a pavement condition index, while pavement roughness is expressed as an international roughness index. The necessary data are collected at 67 tangent sections and the following three modelling approaches are adopted for analysis: linear regression, multiple regression analysis, and artificial neural network. The obtained results show that the artificial neural network modelling approach is the best one for estimating the operating speed V85 in terms of main statistical parameters.

Keywords
multi-lane highway, roughness, pavement condition , operating speed, neural network

HOW TO CITE THIS ARTICLE:

Semeida, A., El-Shabrawy, M.: Impact of pavement condition on passenger car traffic, GRAĐEVINAR, 68 (2016) 8, pp. 635-644, doi: https://doi.org/10.14256/JCE.1466.2015

OR:

Semeida, A., El-Shabrawy, M. (2016). Impact of pavement condition on passenger car traffic, GRAĐEVINAR, 68 (8), 635-644, doi: https://doi.org/10.14256/JCE.1466.2015

LICENCE:

Creative Commons License
This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Ahmed photo
Ahmed Semeida
Port-Said University
Faculty of Engineering
Department of Civil Engineering

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Mohamed El-Shabrawy
El-Mansoura University
Faculty of Engineering
Department of Civil Engineering