Impact of Pavement Condition on Speed Change for Different Vehicle Classes

Authors

  • Ibrahim H. Hashim Civil Engineering Department, Faculty of Engineering, Menoufia University, Shebin El-Kom, Menoufia, Egypt
  • Mohamed A. Younes Civil Engineering Department, Faculty of Engineering, Menoufia University, Shebin El-Kom, Menoufia, Egypt
  • Saad A. El-hamrawy Civil Engineering Department, Faculty of Engineering, Menoufia University, Shebin El-Kom, Menoufia, Egypt

Keywords:

Pavement distress, Speed change, Pavement Condition Index (PCI), Regression analysis, Egypt.

Abstract

Pavement surface conditions have an influence on traffic safety, operating speed, maneuverability, driver comfort and service volume. Although many researchers have studied the influence of different roadway characteristics on traffic stream characteristics and performance, little research has been conducted to investigate the impact of pavement conditions on traffic stream characteristics. This research therefore investigates the impact of pavement conditions on traffic speed, the most important traffic stream characteristic. Field data were collected across 13 sites from two-lane, two-way roads in Menoufia and Gharbya governorates, Egypt. Each site included two sections, distressed and un-distressed. Road geometry and pavement condition characteristics were collected manually while traffic surveys were carried out using automatic traffic recorders. The data analysis revealed that poor pavement conditions caused a large variation in vehicle speeds and consequently made the speed distribution deviate from the normal distribution. There was a significant difference between the mean speeds for different classes of vehicles. Inspection of the standard deviations of speed for distressed and un-distressed sections showed significant differences occurring mainly in distressed sections. The corollary of this is that greater uniformity of speed can be expected under pavement conditions which are good. Several regression models were developed for change in speed and pavement condition, across different classes of vehicles. For all models, the inverse Pavement Condition Index (1/PCI) was the best mathematical form for the independent variable. This means that as the PCI decreases, the change in speed increases. The developed models can calculate changes in speed over different levels of pavement distress and class of vehicle under investigation. Ultimately, they could assist traffic and pavement engineers to justify their decisions regarding maintenance strategies, to carry out safety and operational performance analysis, to study vehicle operating cost and to perform pavement life cycle assessment.

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Published

2018-08-13

How to Cite

H. Hashim, I., A. Younes, M., & A. El-hamrawy, S. (2018). Impact of Pavement Condition on Speed Change for Different Vehicle Classes. American Scientific Research Journal for Engineering, Technology, and Sciences, 43(1), 271–290. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/4326

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