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This study investigates the methodology to evaluate the quantified performance of pavement markings and traffic guide signs using digital images. This methodology is significant to attempt to quantify their performance without large brightness photometer at the nig httime and bad weather. The retroreflective performance of pavement markings are evaluated through the contrast of gray levels of pavements an d markings in collected digital images under the case of rain, dampness, and dryness. In addition, the appraisal of retroreflective perfor mance of traffic guide signs are implemented through the comparison between interior illuminated and the existing retroreflective traffic guide signs using the contrast of luminance extracted from the value of RGB of backgrounds and legends in collected digital images according to geome tric design, driving lanes, and the distance between the car and the sign. As a result, the retroreflective performance of pavement markings deteriorates about 3.5 times and 2 times under the case of rain and dampness respectively than dryness. Also, the performance of the existin g traffic guide signs is significantly influenced by geometric design, driving lanes, and the distance, otherwise interior illuminated traffic guide signs. This methodology can be utilized to construct objective information of performance of traffic safety facilities to select appropriate position of expensive high reflective pavement markings and interior illuminated traffic guide signs considering diverse weather and geomet ric design.Key words : Digital image, Pavement marking, Traffic guide sign, Retroreflectivity, Luminance               .                ,        .           , ,      .         RGB  Y(),  ,  ,                .  ,         3.5, 2   .          ,  ,          .                            . :  , , , , Transportation Engineering

A Methodology Development for Estimating the Retroreflectivity of Pavement Markings and Traffic Guide Signs Using Digital Images