Road Lighting

Bommel, Wout van

doi:10.1007/978-3-319-11466-8

Cited by 62 publications

(18 citation statements)

References 59 publications

(73 reference statements)

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“…Several authors criticize assessing the space lighting quality with illuminance values because it relates to measuring light falling on a horizontal surface instead of quantifying the amount of light reflected towards an observer [8][9][10][11]. Perceived brightness indeed depends on the luminance distribution from the viewpoint of an observer [12][13][14]. The photometric method is moreover limited in the number of viewpoints which can be recorded and visualized.…”

Section: Limitations Of Existing Survey Methodsmentioning

confidence: 99%

Lighting in the third dimension: laser scanning as an architectural survey and representation method

Rodrigue

Demers

Parsaee

2020

Intelligent Buildings International

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This paper proposes tridimensional (3D) laser scanning to architects and lighting designers as a lighting enquiry and visualization method for existing built environments. The method constitutes a complement to existing lighting methods by responding to limitations of photometric measurements, computer simulation and HDR imagery in surveying and visualizing light in actual buildings. The research explores advantages and limitations of 3D laser scanning in a case study addressing a vast, geometrically complex and fragmented naturally and artificially lit space. Lighting patterns and geometry of the case study are captured with a 3D laser scanner through a series of four scans. A single 3D model of the entire space is produced from the aligned and fused scans. Lighting distribution patterns are showcased in relation to the materiality, geometry and position of windows, walls, lighting fixtures and day lighting sources. Results and presented through images similar to architectural presentation drawings. More specifically, the lighting distribution patterns are illustrated in a floor plan, a reflected ceiling plan, an axonometry and a cross-section. The point cloud model of the case study is also generated into a video format representing the entire building as well as different viewpoints. The study shows that the proposed method provides powerful visualization results due to the unlimited number of images that can be generated from a point cloud and facilitates understanding of existing lighting conditions in spaces.

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Section: Limitations Of Existing Survey Methodsmentioning

confidence: 99%

Lighting in the third dimension: laser scanning as an architectural survey and representation method

Rodrigue

Demers

Parsaee

2020

Intelligent Buildings International

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“…Each of the line graphs shows a regression line which is obtained based on seven data points for each of the eccentricity angles by using SigmaPlot 13.0 (Systat Software, Inc.). In the regression analysis, we used the mathematical model shown in equation (2) f…”

Section: Methodsmentioning

confidence: 99%

“…One of a pedestrian’s most critical visual tasks is detecting hazardous obstacles on a road surface, such as holes, cracks, bumps, and curbs. 2 When an obstacle is located on a road surface ahead of a pedestrian at night, the pedestrian may have to avoid the obstacle if it appears to be hazardous. To avoid tripping on such a hazardous obstacle, the pedestrian may first take the advantages of the peripheral vision over the foveal vision.…”

Section: Introductionmentioning

confidence: 99%

“…6 There are mainly three potential ways to apply mesopic photometry to street lighting practice. They are (1) to enhance peripheral visual performance, (2) to choose energy efficient light sources, and (3) to reduce light levels. However, most current lighting recommendations for roadways and streets have been developed based on visibility of targets viewed by subjects' foveal vision.…”

Section: Introductionmentioning

confidence: 99%

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Comparisons between off-axis detection and on-axis recognition to implement mesopic photometry in roadway lighting standards

Ohashi

Akashi

Uchida

2019

Lighting Research & Technology

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Mesopic photometry can be applied to road lighting practice to enhance peripheral visual performance and to reduce light levels. However, mesopic photometry characterizes peripheral vision, whereas photopic photometry characterizes foveal vision at all light levels. Higher scotopic / photopic ( S/ P) ratio light sources which enhance peripheral visual performance may have a negative influence on foveal vision. In addition, light level reductions, as realized in British Standard 5489-1: 2013, may impair foveal visual performance. To investigate the above-described concern, we conducted two experiments. First, we investigated whether Landolt ring targets detected by peripheral vision can be recognized correctly after moving the line of sight to fixate on the targets in foveal vision. Then, we found that subjects could recognize in foveal vision almost all targets that peripheral vision detected. The S/ P ratio of the background lighting did not influence this tendency. Second, we investigated luminance contrast thresholds for foveal vision to compare them with those for peripheral vision, obtained from the first experiment. We found that threshold contrasts of targets recognized by foveal vision were lower than those detected by peripheral vision. These results lead to the conclusion that the use of higher S/ P ratio light sources has no negative influence for foveal vision when implementing mesopic photometry.

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“…Contrary to the USA numbers, Australia with 26% (n=26), appears to have the much bigger problem with exploding population numbers of true pest species, based on the number of and varieties of pests investigated in Australian studies. Therefore is seems plausible that Australian scientist would frantically seek for more, or better solutions (BOMFORD, 1993(BOMFORD, , 1993DUKA;MASTERS, 2005MASTERS, , 2005LAPIDGE, 2008;BENGSEN;GENTLE, 2014;BOMMEL;JOHNSON, 2014;DICKMAN, 2014).…”

Section: On the Numbers Of Publications By Countrymentioning

confidence: 99%

<b>Wildlife population control comprehensive and critical literature review on contraceptive methods in wildlife - mammals</b>

Rosenfield¹

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Road Lighting

Cited by 62 publications

References 59 publications

Lighting in the third dimension: laser scanning as an architectural survey and representation method

Lighting in the third dimension: laser scanning as an architectural survey and representation method

Comparisons between off-axis detection and on-axis recognition to implement mesopic photometry in roadway lighting standards

<b>Wildlife population control comprehensive and critical literature review on contraceptive methods in wildlife - mammals</b>

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