Development of a QC/QA Process for Caltrans Automated Pavement Condition Survey Data

Project Details
STATE

CA

SOURCE

TRID

END DATE

01/08/19

RESEARCHERS

Haiping Zhou, Zhongren Wang, Robert Sherrick, Scott Mathison

SPONSORS

Caltrans

KEYWORDS

Condition surveys, Data quality, Pavement management systems, Quality assurance, Quality control

Project description

The California Department of Transportation (Caltrans) awarded a contractor a three-year contract to collect, analyze, and report pavement condition of the state highway system for 2018 and 2019 using automated pavement condition survey (APCS). The contract covers 12 Caltrans districts with roughly 52,000 lane miles of on-system roadways and 6,000 lane miles of off-system roadways. Before investing significant resources on statewide APCS data collection, Caltrans and the contractor initiated a pilot study. The purpose is to establish a workable process for data quality control (QC) and quality assurance (QA), making sure the data collected closely reflect the field condition. The pilot study was conducted on selected routes in Caltrans District 12.
TOP