Evaluation of Oklahoma Weigh-in-motion (Wim) Data

Abstract

As an important component of data collection in traffic monitoring program, Weigh-In-Motion (WIM) systems record multiple types of traffic data which can be utilized for various applications. Due to the high rate of erroneous data and expensive device setup and calibration, it is critical to check WIM data quality and examine the variability levels of various traffic characteristics. Rigorous data quality algorithms have been implemented in the Prep-ME software. Five years of WIM data in Oklahoma are investigated and 2008 WIM data is selected as the data source for study of traffic variations. A comprehensive array of traffic parameters, including those for traffic volume, truck volume, gross vehicle weight, and axle load spectra are studied and their variations at different time periods (time-of-day, day-of-week, monthly, and seasonally) are evaluated and analyzed. The statistical required minimum number of traffic monitoring sites for each roadway group is estimated. In addition, the traffic variations at different locations are calculated to investigate traffic data consistency within each roadway group.