Influence of Road Surfaces on the Calculation of a Target Visibility Taking Into Account the Direct and Indirect Lighting

Abstract

Street lighting ensures visibility and legibility for road users. In this paper, performances of the lighting installation of four road sections with different type of road surface are simulated in accordance with guidelines and road lighting standards. Then, the calculation of the visibility level of a target according to the Adrian’s model is included. Next, the light reflections on the road surface are added to the calculation of the target luminance. For this, the area considered in front of the target as well as the number of elementary surfaces are fixed and a Q_0-scaling of the r-table obtained for α=45° is performed. We compare the results obtained for each section with and without considering the light reflections and conclude that there is negligible incidence of the nature of the road surface on the target luminance. However, an effect of the road surface on the visibility level of the target is observed.

Is it possible to achieve quality lighting without considering the photometry of the pavements?

“…However, research shall be conducted with the reintegration of visibility calculations as a performance criterion for lighting installations as was already the case in previous recommendations. 25,26 When a lighting installation is renewed, it is essential to take into account the photometry of the pavement. With the usual practice of considering a standard r-table, the criteria of EN 13201 are generally not fulfilled, particularly in terms of luminance uniformities.…”

“…However, research shall be conducted with the reintegration of visibility calculations as a performance criterion for lighting installations as was already the case in previous recommendations. 25,26…”

Measuring and Predicting Sensor Performance for Camouflage Detection in Multispectral Imagery

“…The measurement of visibility or exposure of targets in a dynamic environment is a highly active field of research, especially in the automotive area, where traffic lights and signs have to be designed in such way that they cannot be overlooked by any road user. Visibility metrics based on luminance measurements and psychological behavior, such as the target visibility level [19] and the relative visual performance [20], have been proposed and evaluated in various scenarios [21][22][23][24]. The determination of visibility in terms of the distance at which objects can be identified from visual [25,26] and nearinfrared [25] camera footage has been studied as well.…”