In 2010, the CIE published a recommended system for mesopic photometry based on visual performance. According to this system, scenes illuminated at mesopic levels with light sources of high S/P ratio, will produce better visual performance than those illuminated with light sources of a lower S/P ratio at equal photopic luminance. However, there could be other factors affected by SPD that, when quantified, could lead to a contradictory final effect. The scope of this paper was to evaluate how road lighting is affected by the spectral road surface reflectance and by the human eye transmittance as people get older. Our results suggest that the benefits of considering the mesopic vision effect for light sources with high S/P ratios are totally counteracted by the other two effects at mesopic luminances between 0.75 cd/m2 and 1.73 cd/m2 for people between 20 and 60 years of age, depending on the light source and the age of observers.
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References
1.
Commission Internationale de l'Eclairage. Proceedings CIE 6th session 1924, Genéve. In: Recueil des Traveaux et Compte Rendu de Séances. Cambridge: University Press, 1926, pp. 67–69.
2.
Commission Internationale de l'Eclairage. Proceedings CIE 12th Session, Stockholm, Volume 3. Paris: CIE, 1951, pp. 37–39.
3.
Commission Internationale de l'Eclairage. CIE 191:2010. Recommended System for Mesopic Photometry Based on Visual Performance, Vienna: CIE, 2010.
4.
Commission Internationale de l'Eclairage. CIE 115:2010. Lighting of Roads for Motor and Pedestrian Traffic, Vienna: CIE2010.
5.
Illuminating Engineering Society of North America. ANSI/IESNA RP-8-00. American National Standard Practice for Roadway Lighting, New York: IESNA, 2000.
6.
Illuminating Engineering Society of North America. IES TM-12-12. Spectral Effects of Lighting on Visual Performance at Mesopic Lighting Levels, New York: IESNA, 2012.
7.
HeYReaMBiermanABulloughJ. Evaluating light source efficacy under mesopic conditions using reaction times. Journal of the Illuminating Engineering Society1997; 26: 125–138.
8.
LewisAL. Visual performance as a function of spectral power distribution of light sources at luminances used for general outdoor lighting. Journal of the Illuminating Engineering Society1999; 28: 37–42.
9.
BulloughJDReaMS. Simulated driving performance and peripheral detection at mesopic and low photopic light levels. Lighting Research and Technology2000; 32: 194–198.
10.
FotiosSChealCBoycePR. Light source spectrum, brightness perception and visual performance in pedestrian environments: a review. Lighting Research and Technology2005; 37: 271–294.
11.
FotiosSChealC. Predicting lamp spectrum effects at mesopic levels. Part 1: spatial brightness. Lighting Research and Technology2011; 43: 143–157.
12.
FotiosSChealC. Predicting lamp spectrum effects at mesopic levels. Part 2: preferred appearance and visual acuity. Lighting Research and Technology2011; 43: 159–172.
13.
BoycePREklundNHHamiltonBJBrunoLD. Perceptions of safety at night in different lighting conditions. Lighting Research and Technology2000; 32: 79–91.
14.
KnightC. Field surveys of the effect of lamp spectrum on the perception of safety and comfort at night. Lighting Research and Technology2010; 42: 313–329.
15.
LewinI. Lumen effectiveness multipliers for outdoor lighting design. Journal of the Illuminating Engineering Society2001; 30: 40–52.
16.
ReaMSBulloughJDFreyssinier-NovaJPBiermanA. A proposed unified system of photometry. Lighting Research and Technology2004; 36: 85–111.
17.
GoodmanTForbesAWalkeyHElohomaMHalonenLAlferdinckJFreidingABodrogiPVaradyGSzalmasA. Mesopic visual efficiency IV: a model with relevance to nighttime driving and other applications. Lighting Research and Technology2007; 39: 365–392.
18.
ReaMSBulloughJD. Making the move to a unified system of photometry. Lighting Research and Technology2007; 39: 393–408.
19.
SchreuderD. Outdoor Lighting: Physics, Vision and Perception, Dordrecht, the Netherlands: Springer, 2008.
20.
European Committe for Standardization. EN 13201-2. European Standard. Road Lighting – Part 2: Performance Requirements, Brussels: CEN, 2003.
21.
AdrianWJobanputraR. Influence of Pavement Reflectance on Lighting for Parking Lots, Skokie, IL: PCA Portland Cement Association, 2005.
22.
BaldridgeAMHookSJGroveCIRiveraG. The ASTER spectral library version 2.0. Remote Sensing of Environment2009; 113: 711–715.
23.
Ekrias A, Ylinen A-M, Eloholma M, Halonen L. Effects of pavement lightness and colour on road lighting performance: Proceedings of the CIE International Symposium on Road Surface Photometric Characteristics: Measurement Systems and Results. Torino, Italy, 2008.
24.
Herold M. Understanding Spectral Characteristics of Asphalt Roads. Santa Barbara, CA: University of California Santa Barbara (UCSB), National Center for Remote Sensing in Transportation (NCRST), 2004.
25.
FalchiFCinzanoPElvidgeCDKeithDMHaimA. Limiting the impact of light pollution on human health, environment and stellar visibility. Journal of Environmental Management2011; 92: 2714–22.
26.
Ylinen AM. Development and analysis of road lighting – road surfaces and mesopic dimensioning. PhD Thesis, Aalto University, Espoo, Finland, 2011.
27.
BoycePR. Human Factors in Lighting, 2nd. London: Taylor and Francis, 2003.
28.
van BommelW. Road Lighting. Fundamentals, Technology and Application, London: Springer, 2015.
29.
WealeRA. Age and the transmittance of the human crystalline lens. Journal of Physiology1988; 395: 577–587.
30.
BoettnerEAWolterJR. Transmission of the ocular media. Investigative Ophthalmology and Visual Science1962; 1: 776–783.
31.
AlpernMThompsonSLeeS. Spectral transmittance of visible light by the living human eye. Journal of the Optical Society of America1965; 55: 6–10.
32.
BoettnerEA. Spectral transmission of the eye, The University of Michigan: Ann Arbor, Michigan, 1967.
33.
BarkerFMBrainardGC. The Direct Spectral Transmittance of the Excised Human Lens as Function of Age (FDA 785345 0090 RA), Washington, DC: US Food and Drug Administration1991.
34.
BrainardGCRollagMDHanifinJP. Photic regulation of melatonin in humans: ocular and neural signal transduction. Journal of Biological Rhythms1997; 12: 537–546.
35.
FreidingAEloholmaMKetomäkiJHalonenLWalkeyHAlferdinckJVaradyGBodrogiP. Mesopic visual efficiency I: detection threshold measurements. Lighting Research and Technology2007; 39: 319–334.
36.
WalkeyHOrrevetelainenPBarburJHalonenLGoodmanTAlferdinckJFreidingASzalmasA. Mesopic visual efficiency II: reaction time experiments. Lighting Research and Technology2007; 39: 335–354.
37.
VàradyGFreidingAEloholmaMHalonenLWalkeyHGoodmanTAlferdinckJ. Mesopic visual efficiency III: discrimination threshold measurements. Lighting Research and Technology2007; 39: 355–364.
38.
WeidnerVRHsiaJJ. Reflection properties of pressed polytetrafluoroethylene powder. Journal of the Optical Society of America1981; 71: 856–861.
Commission Internationale de l'Eclairage. CIE Publication 203:2012. A Computerized Approach to Transmission and Absorption Characteristics of the Human Eye, Vienna: CIE, 2012.
41.
SagawaKTakahashiY. Spectral luminous efficiency as a function of age. Journal of the Optical Society of America A2001; 18: 2659–2667.
42.
GibsonKSTyndallEPT. Visibility of radiant energy. Scientific Papers of the Bureau of Standards1923; 19: 131–131.
43.
UchidaTOhnoY. Simplified field measurement methods for the CIE mesopic photometry system. Lighting Research and Technology.. 2016; 0: 1–14. First published 11 April 2016. DOI: 1477153516643571.
44.
R Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing, 2016. Retrieved from http://www.R-project.org/.
45.
United Nations. World Population Prospects: The 2015 Revision, Key Findings and Advance Tables, New York: UN, Department of Economic and Social Affairs, Population Division, 2015.
