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

IF 2.6 2区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Leukos Pub Date : 2020-10-23 DOI:10.1080/15502724.2020.1813038

Wenyi Li, Yang Hu, Yajing Ji, Muqing Liu, Haiping Shen

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引用次数: 3

Abstract

ABSTRACT 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 (Lave, U0, Ul ) 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 (EQ0 = 2.1%, ES1 = 5.0%, Error = 2.3%). Moreover, the proposed method also exhibits an improved luminance response and achieves a 2.1% difference in Lave , a 3% difference in U0 , and a 1.8% difference in Ul . This study proves that the proposed database retrieval method improves the model prediction accuracy.

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基于实测的路面亮度系数表预测数据库检索方法

r表的原位测量因其速度快、使用简单、无损路面效应等优点而受到特别关注。本研究提出了一种数据库检索方法，用于从r-table数据库中构建一个完整的r-table，并将25个r系数用作输入参数。将该方法作为一种数据处理算法应用于原位r表测量装置。为了评估所提出方法的准确性，我们进行了a)不同方法构建的Q0、S1和r-表的表对表比较，以及b)基于使用不同r-表的典型道路照明场景的计算亮度值(Lave, U0, Ul)的比较。表间比较结果表明，应用本文方法计算得到的Q0、S1和r-table值与实际值非常接近(EQ0 = 2.1%， ES1 = 5.0%， Error = 2.3%)。此外，该方法还表现出改善的亮度响应，在Lave上差异2.1%，在U0上差异3%，在Ul上差异1.8%。研究证明，所提出的数据库检索方法提高了模型的预测精度。

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来源期刊

Leukos 工程技术-光学

CiteScore

7.60

自引率

5.60%

发文量

审稿时长

>12 weeks

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