01763926

Component

https://annualmeeting.myt...nlineProgram/Details/15753

The purpose of this study was to evaluate the use of Grey Prediction Model (GPM) in predicting the deterioration rate of paint pavement markings retroreflectivity. In addition, Grey Relation Analysis (GRA) was used to evaluate factors that significantly affect degradation patterns of the retroreflectivity. The factors considered in this study are Average Annual Daily Traffic (AADT), initial retroreflectivity readings, elevation, and the number of lanes. The study-utilized data collected across the state of Tennessee. Using 100mcd/m²/lux as the threshold below which the markings are considered for repaint, study found white paints take approximately 2.7 years to reach 100mcd/m²/lux while yellow paints takes approximately 2.0 years to reach the same threshold. Varied per AADT levels (low, medium and high traffic volumes), it was found the paints deterioration rates increase with increase in traffic volumes. The findings from GRA showed that the initial retroreflectivity value is the most significant factor compared to elevation, number of lanes and AADT in affecting the degradation rate of white paint markings. The elevation was found to be the most influential variable for the yellow markings degradation compared to other evaluated variables. The study findings can help in planning and scheduling the repainting of paint pavement markings for acceptable retroreflectivity values.

This paper was sponsored by TRB committee ACP55 Standing Committee on Traffic Control Devices.

TRBAM-21-00331

English

18p

2021

Transportation Research Board 100th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Annual average daily traffic; Deterioration; Forecasting; Paint; Retroreflectivity; Road markings; Traffic volume

Tennessee

Highways; Maintenance and Preservation; Planning and Forecasting

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00331

TRIS, TRB, ATRI

Dec 23 2020 11:14AM