@article{oai:muroran-it.repo.nii.ac.jp:00008041,
 author = {斎藤,  和夫 and SAITO, Kazuo and HENRY, John J. and BLACKBURN, Robert},
 journal = {室蘭工業大学研究報告. 理工編, Memoirs of the Muroran Institute of Technology. Science and engineering},
 month = {Nov},
 note = {application/pdf, This paper describes some of the findings of a research program to develop and validate a model for predicting minimum pavement skid resistance values from measurements taken at any time during the testing season. The model was developed by obtaining frequent skid resistance measurements during a season in several geographical areas in the United States, namely Pennsylvania (1976-1980), North Carolina and Tennessee (1979-1980), Massachusetts (1978-1980), and Florida (1979-1980). This model may be utilized to estimate the skid resistance at any time in the season from a measurement made during the same season, or to adjust skid resistance measurement made at any time during the season to the end-of-season level. To apply the model, the user should select the set of predictor coefficient values that pertains to the pavement type and geographical area of interest. The other information required is the average daily traffic (ADT), texture measurements (MTD and BPM) for each site, rainfall history, ambient temperature history in the vicinity of the site, and the date. The model developed here was applied for predicting the level of skid resistance at the end of the year (SN₆₄F) and for predicting the skid resistance at any day from a measurement taken on a different day. Based on these results, it is concluded that the generalized model is an effective analytical tool for estimating seasonally adjusted values of skid resistance.},
 pages = {1--23},
 title = {Development and Application of Predictor Model for Seasonal Variations in Skid Resistance (Ⅱ) ―Generalized Model―},
 volume = {35},
 year = {1985},
 yomi = {サイトウ, カズオ}
}