BIO

I am a third-year double major in Statistics and Computer Science from Orange Park, FL. I am interested in data and how to use it to solve real-world issues. My career interests include machine learning, data analysis, and augmented reality (AR) and how they can impact fields such as education, media, etc.

Data Cleaning of Skid Resistance Data from the LTPP Database

Abstract

The material in the pavement can determine how much pressure and weight it can handle, which in turn impacts skid resistance. Skid resistance is the force developed when a tire that is prevented from rotating slides along the pavement surface. Measuring skid resistance is crucial because it can indicate the frequency of maintenance to ensure roadway safety. One measure of skid resistance is a skid number. The skid number is specified based on a standard test procedure and apparatus as in ASTM (American Society for Testing and Materials). One of the tests to obtain the skid number involves a locked wheel skidding along the tested surface to measure friction resistance. Although many U.S. states deem a skid number under 30 to be unacceptable, this standard to control skid resistance is not consistent nationwide.

It was crucial to examine the information from the Long-Term Pavement Performance (LTPP) program website to understand better the variety of measures that different U.S. states use to determine which skid numbers are acceptable for frequency of maintenance. The LTPP program collects pavement performance data using standard data collection procedures and protocols on various pavement types. This project aims to clean, process, and understand the data based on factors that can impact skid resistance.

Keywords: Pavement, Data, Skid Resistance