Technical Papers
Dec 2, 2022

Fuzzibility: A New Approach to Modeling Visibility Using Fuzzy Techniques

Publication: Journal of Architectural Engineering
Volume 29, Issue 1

Abstract

Fuzzy techniques are approximations used to model phenomena or decisions for which mathematical precision is impractical or impossible. In this work, we have developed a new approach to modeling visual performance using fuzzy techniques. Fuzzy techniques allow us to include variables that are not included in the current visual performance model. We also introduce the term critical contrast, which we define as the contrast at which a change in the rating of visual performance occurs. The comparison between our fuzzy relative visual performance model and the relative visual performance model shows close agreement for most conditions. A digital tool was also developed and is available for use. This will make the proposed metric simple to use and implement.

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Acknowledgments

This research was funded by The British University in Dubai (BUiD) (Grant Number ENG042).

References

AASHTO. 2001. A policy on geometric design of highways and streets. Washington, DC: AASHTO.
AbouElhamd, A. R., and R. Saraiji. 2021. “A new metric for roadway lighting design based on Relative Visual Performance.” In Proc., Illuminance Engineering Society Virtual Annual Conf. 2021: Proc., Paper and Poster Sessions. New York: Illuminating Engineering Society (IES).
Adrian, W. 1989. “Visibility of targets: Model for calculation.” Light. Res. Technol. 21 (4): 181–188. https://doi.org/10.1177/096032718902100404.
Alhamad, I. M. 2020. “Fuzzy techniques in visual performance and illumination applications.” Ph.D. thesis, Architecture and Sustainable Built Environment Program, Faculty of Engineering & IT, British Univ. in Dubai.
Aslam, T., D. Haider, and I. Murray. 2007. “Principles of disability glare measurement: An ophthalmological perspective.” Acta Ophthalmol. Scand. 85 (4): 354–360. https://doi.org/10.1111/j.1600-0420.2006.00860.x.
Bai, Y., and D. Wang. 2006. “Fundamentals of fuzzy logic control — Fuzzy sets, fuzzy rules and defuzzifications.” In Advanced fuzzy logic technologies in industrial applications. Advances in industrial control, edited by Y. Bai, H. Zhuang, and D. Wang. London: Springer.
Bailey, I., R. Clear, and S. Berman. 1993. “Size as a determinant of reading speed.” J. Illum. Eng. Soc. 22 (2): 102–117. https://doi.org/10.1080/00994480.1993.10748046.
Berman, S., G. Fein, D. Jewett, and F. Ashford. 1993. “Luminance-controlled pupil size affects Landolt C task performance.” J. Illum. Eng. Soc. 22 (2): 150–165. https://doi.org/10.1080/00994480.1993.10748048.
Blackwell, H., and O. Blackwell. 1980. “Population data for 140 normal 20–30 year olds for use in assessing some effects of lighting upon visual performance.” J. Illum. Eng. Soc. 9 (3): 158–174. https://doi.org/10.1080/00994480.1980.10747894.
Bommel, W. 2015. Road lighting. Cham, Switzerland: Springer.
Boussabaine, A., and T. Elhag. 1999. “Applying fuzzy techniques to cash flow analysis.” Constr. Manage. Econ. 17 (6): 745–755. https://doi.org/10.1080/014461999371088.
Boyce, P. 2003. Human factors in lighting. 2nd ed. London: CRC Press.
Boynton, R., and N. Miller. 1963. “Visual performance under conditions of transient adaptation.” Illum. Eng. 58: 541–550.
Bravo, M., and H. Farid. 2006. “Object recognition in dense clutter.” Percept. Psychophys. 68 (6): 911–918. https://doi.org/10.3758/BF03193354.
Chaopu, Y., F. Wenqing, T. Jiancheng, Y. Fan, L. Yanfeng, and L. Chun. 2018. “Change of blue light hazard and circadian effect of LED backlight displayer with color temperature and age.” Opt. Express 26 (21): 27021. https://doi.org/10.1364/OE.26.027021.
CIE (Commission International de I’Eclaire). 1981. An analytical model for describing the influence of lighting parameters upon visual performance. Technical Rep. 19.2. Vienna: CIE.
Davoudian, N. 2011. “Visual saliency of urban objects at night: Impact of the density of background light patterns.” LEUKOS 8 (2): 137–152. https://doi.org/10.1582/LEUKOS.2011.08.02.004.
Davoudian, N., P. Raynham, and E. Barrett. 2013. “Disability glare: A study in simulated road lighting conditions.” Light. Res. Technol. 46 (6): 695–705. https://doi.org/10.1177/1477153513510168.
DiLaura, D. 2011. The lighting handbook. New York: Illuminating Engineering Society (IES).
Eklund, N., P. Boyce, and S. Simpson. 2000. “Lighting and sustained performance.” J. Illum. Eng. Soc. 29 (1): 116–130. https://doi.org/10.1080/00994480.2000.10748487.
IES (Illuminating Engineering Society). 2014. Roadway lighting. New York: IES.
IES (Illuminating Engineering Society). 2018. Recommended practice for lighting roadway and parking facilities. RP-8-18. New York: IES.
Inditsky, B., H. Bodmann, and H. Fleck. 1982. “Elements of visual performance.” Light. Res. Technol. 14 (4): 218–231. https://doi.org/10.1177/096032718201400404.
Langer, M., and F. Mannan. 2012. “Visibility in three-dimensional cluttered scenes.” J. Opt. Soc. Am. A 29 (9): 1794. https://doi.org/10.1364/JOSAA.29.001794.
Rea, M. 1981. “Visual performance with realistic methods of changing contrast.” J. Illum. Eng. Soc. 10 (3): 164–177. https://doi.org/10.1080/00994480.1980.10748607.
Rea, M. 1986a. “Practical implications of a new visual performance model.” Light. Res. Technol. 18 (3): 113–118. https://doi.org/10.1177/096032718601800301.
Rea, M. 1986b. “Toward a model of visual performance: Foundations and data.” J. Illum. Eng. Soc. 15 (2): 41–57. https://doi.org/10.1080/00994480.1986.10748655.
Rea, M., J. Bullough, and Y. Zhou. 2010. “A method for assessing the visibility benefits of roadway lighting.” Light. Res. Technol. 42 (2): 215–241. https://doi.org/10.1177/1477153509360855.
Rea, M., and M. Ouellette. 1988. “Visual performance using reaction times.” Light. Res. Technol. 20 (4): 139–153. https://doi.org/10.1177/096032718802000401.
Rea, M., and M. Ouellette. 1991. “Relative visual performance: A basis for application.” Light. Res. Technol. 23 (3): 135–144. https://doi.org/10.1177/096032719102300301.
Rogers, J. 1972. “Peripheral contrast thresholds for moving images.” Hum. Factors 14 (3): 199–205. https://doi.org/10.1177/001872087201400301.
Saraiji, R., I. Alhamad, and H. Boussabaine. 2018. “Fuzzibility: A new approach to modeling visibility using fuzzy techniques.” In 2018 Illuminating Engineering Society Annual Conf. Boston, MA. Illuminating Engineering Society (IES).
Shannon, C. 1948. “A mathematical theory of communication.” Bell Syst. Tech. J. 27 (4): 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x.
Zadeh, L. 1965. “Fuzzy sets.” Inf. Control 8 (3): 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X.

Information & Authors

Information

Published In

Go to Journal of Architectural Engineering
Journal of Architectural Engineering
Volume 29Issue 1March 2023

History

Received: Nov 23, 2021
Accepted: Sep 15, 2022
Published online: Dec 2, 2022
Published in print: Mar 1, 2023
Discussion open until: May 2, 2023

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Authors

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Instructor, Mechanical & Aerospace Engineering Dept., United Arab Emirates Univ. (UAEU), P.O. Box 15551, Al-Ain, UAE (corresponding author). ORCID: https://orcid.org/0000-0002-4089-6476. Email: [email protected]
Professor, Healthy and Sustainable Built Environment Research Center, Ajman Univ., P.O. Box 346, Ajman, UAE ORCID: https://orcid.org/0000-0002-1476-8411. Email: [email protected]

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