Hybrid adaptive splines for luminous intensity data regression in I-tables

TL;DR

This paper introduces hybrid adaptive splines for more accurate luminous intensity data regression in I-tables, improving road lighting design calculations by better capturing local extremal values compared to standard methods.

Contribution

The paper proposes a novel hybrid adaptive spline interpolation method that enhances luminous intensity data regression for road lighting applications.

Findings

Hybrid adaptive splines outperform standard interpolation methods.

Calculated luminous intensity values closely match goniophotometric measurements.

Improved accuracy benefits photometric parameter calculations.

Abstract

The I-table contains luminous intensity values over the range of angles for the luminaires used in the road lighting in accordance with technical report CIE 121:1996. A limited number of angles causes smoothing of the luminous intensity diagram omitting possible local extremal values which affect the calculations of the photometric parameters such as average illuminance, average luminance, uniformity or treshold increment. The interpolating methods used to calculate the luminous intensity can significantly improve the accuracy of the calculations and redound to more effective and reliable road lighting design. In the paper standard interpolation methods used up to now are compared with newly proposed hybrid adaptive splines. Calculated values of luminous intensity are compared and verified by goniophotometric measurements.