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The in-situ measurements for  r -tables have attracted special attention owing to their advantages, including increased speed, simplicity of use, and nondestructive road effects. This study presents a database retrieval method proposed for the construction of a full-scale  r -table from an  r -table database with 25  r  coefficients used as input parameters. The proposed method was used in an in-situ,  r -table measurement device as a data processing algorithm. To evaluate the accuracy of the proposed method, we performed a) a table-to-table comparison of  Q0, S1 , and  r -tables constructed by different methods and b) comparisons of calculated luminance values ( L ave , U 0 , U l) for a typical road-lighting scenario based on the use of different  r -tables. The table-to-table comparison results indicate that following the application of the proposed method, its calculated  Q0, S1 , and  r -table values were very close to their actual values ( E Q0 = 2.1%,  E S1 = 5.0%,  Error  = 2.3%). Moreover, the proposed method also exhibits an improved luminance response and achieves a 2.1% difference in  L ave, a 3% difference in  U 0, and a 1.8% difference in  U l. This study proves that the proposed database retrieval method improves the model prediction accuracy.

A Database Retrieval Method for the Prediction of Reduced Luminance Coefficient Tables of A Road Surface Based on Measurements in Situ