The project Data Analysis for Local Roadway Assessment conducted systematic road-safety assessment and identified major risks that can be eliminated or reduced by practical road-improvement measures. Specifically, the primary task of this project was to collect and code detailed data on key roadway and traffic control characteristics for 100-meter roadway segments from Internet-based photos on Google Street View®. The data can be used as the basis for usRAP safety assessments and analyses, such as star ratings and road improvement plans. This project mainly focused on three Illinois counties: Boone, Champaign, and Vermilion. From November 1, 2013, to April 30, 2014, a research team at the University of Illinois at Urbana- Champaign (UIUC) worked jointly with experts at Iowa State University (ISU), MRI Global, and Ch2M HILL to perform the tasks. The UIUC researchers first participated in a two-day, intensive training program to gain the necessary background and knowledge for data collection. During the course of the project, ISU and MRI Global monitored the progress and quality of the data collected. The project outcome includes carefully documented data on more than 50 key safety-related design characteristics for 1,566 100-meter road segments in Boone County, 3,941 in Champaign County, and 2,545 in Vermilion County. The student researchers collected data at an average rate of 4.16 kilometers per hour. This report summarizes the main activities (training, data coding, and communication), management and control (internal and external supervision), and key results of this project. (Author/publisher)
Samenvatting