Effect of Pavement Friction Factors on Skid Resistance of Highway Pavements using Prediction Models
Dania AL-Othman1, Hüseyin Gökçekuş2

1Dania AL-Othman, Civil and Environment Engineering, Near East University, Nicosia, North Cyprus, Via Mersin 10, Turkey.
2Hüseyin Gökçekuş, Civil and Environment Engineering, Near East University, Nicosia, North Cyprus, Via Mersin 10, Turkey.

Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 4395-4403 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8064078919/19©BEIESP | DOI: 10.35940/ijitee.I8064.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: There are many features for road pavements, in which the most significant feature is skid resistance. Skid resistance is referred to as the contact (friction) among the pavement surface and automobile tires. Essentially, this feature is vital to guarantee adequate road secureness and it takes a fundamental part during specific climatic conditions. The aim of this research is targeted at distinguishing the primary attributes that impact skid resistance, so that the rates of traffic collisions that occur as a result of insufficient skid resistance specifically in wet climate conditions, are minimized. Throughout this research, designs to calculate the association of surface texture form, automobile velocity, tire type and the type of asphalt mixture on skid resistance were created and applied to evaluate the significance of each attribute as well as enhancing the secureness of roads. Hence, the attributes influencing skid resistance were chosen and evaluated utilizing the SPSS program. Also, the British Pendulum Skid Resistance Tester was utilized in order to evaluate the skid resistance of various surface textures. The outcomes obtained by this study proved that there is a strong association among surface texture, wheel form, type of mixture and automobile velocity, where R2 =96.5%. Moreover, the outcomes advocated the necessity of applying operating method designs to minimize duration and exertion as well as computing the influence of these attributes on skid resistance. The ingenuity of this research is in its concept which advocates that the manipulation of skid resistance operation method results in enhanced road security and minimizes collisions, which respectively diminishes fatality rates.
Keywords: Skid resistance; pavement friction attributes; surface texture; British Pendulum Skid Tester; skid resistance prediction models.

Scope of the Article: Regression and Prediction