Inadequate skid resistance on wet pavements, specifically on horizontal curves of rural highways, is responsible for vehicle crashes and fatalities. Several research projects have developed models that project the effect of various geometric and pavement parameters on skid resistance. This study is an attempt to revise an existing model proposed by Texas A&M Transportation Institute (TTI) researchers. The proposed model is based on pavement parameters including (mix type, gradation, aggregate parameters and traffic parameters). Laboratory and field tests (circular track meter (CTM), dynamic friction tester (DFT), 3-wheel polisher, micro-deval test, aggregate image measuring system (AIMS) and skid trailer test) were conducted on various treatment sites, aggregate types and mix types to analyze their performance and effects on skid resistance. Data used for this study include the data collected from laboratory and field tests, data from TxDOT pavement management information system (PMIS) along with data from past research. This study is a contribution to revise some equations in an existing skid prediction model and to develop a database consisting of skid related data which would help practitioners in taking pavement-safety related decisions on horizontal curves.
