Comparison of Road Luminance Data Estimated by Fuzzy Logic and ANN, A Case study of Kocaeli Sakıp Sabancı Street

Öz

Road lighting constitutes the most important part of city lighting. While correct road lighting solves the chaos in transportation, it also paves the way for smooth urban traffic flow. It also allows people to have a comfortable and safe journey. In order to reduce accidents in the evening hours, safe driving and visual comfort must be provided to drivers. Just like inadequate road lighting, excessive lighting also causes accidents and waste of electrical energy. Good visibility of objects on the road and visual comfort for drivers is possible by ensuring an equal brightness distribution on the road surface. In this article, a prediction model was created with Artificial Neural Network (ANN) and Fuzzy Logic (FL) methods to find the luminance values of the road in Sakıp Sabancı street in Kocaeli province. When the predictions obtained by ANN and FL were compared, the results were seen to be accurate and compatible. When the estimation results obtained as a result of the application were examined, it was observed that the estimation of luminance values in good and qualified road lighting could be achieved with these methods.

Anahtar Kelimeler

• Road Lighting
• Luminance
• Fuzzy Logic
• ANN

Kaynakça

1. [1] Jin H., Jin S., Chen L. et al. Research on the Lighting Performance of LED Street Lights With Different Colour Temperatures, IEEE Photonics Journal, Aralık 2015,Cilt: 7 , Sayı: 6. https://doi.org/10.1109/JPHOT.2015.2497578
2. [2] Dursun S., Terzi U.K., Akar O.et al. Comparative Analysis of Lighting Elements Effects on Electric System, European Journal of Technique (EJT), 2021, Vol. 11, .2. https://doi.org/10.36222/ejt.981153
3. [3] Onaygil S., Guler O., Erkin E. Cost Analyses of LED Luminaires In Road Lighting, Light & Engineering, 2012, Vol. 20, 2, pp. 39–45.
4. [4] Cengiz M.S. The Relationship between Maintenance Factor and Lighting Level in Tunnel Lighting, Light & Engineering, 2019, Vol. 27, 3, pp. 75–88. https://doi.org/10.33383/2018
5. [5] Pracki P., A proposal to classify road lighting energy efficiency”, Lighting Research & Technology, Vol. 43, 3, pp. 271–280, 2011.
6. [6] Falchi F., Cinzano P., Elvidge C.D. et al. Limiting the impact of light pollution on human health, environment and stellar visibility, Journal of Environmental Management, 2011,Vol. 92, 10, pp. 2714–2722. https://doi.org/10.1016/j.jenvman.2011.06.029
7. [7] Akgun I., Ustaoglu E., Multi–Methodological Design Framework for Roadway Illumination, Light & Engineering, 2022,Vol. 30, 1, pp. 39–50. https://doi.org/10.33383/2021-084
8. [8] International Dark Sky Association, Visibility, Environmental and Astronomical Issues Associated with Blue Rich White Outdoor Lighting, Technical Report, Tucson-Washington, DC, 2010.

9. [9] CIE (Commission Internationale de l’Eclairage), Road lighting as an accident countermeasure, Vienna (Austria): CIE No. 093–1993, pp. 1–43, 1993. ISBN: 978 3 900734 30 5
10. [10] Elvik R. Meta-analysis of evaluation of public lighting as accident countermeasure, Transp. Res. Rec., 1995, 1485.1, pp.112–123. https://onlinepubs.trb.org/Onlinepubs/trr/1995/1485/1485-015.pdf
11. [11] Wanvik A. Effects of road lighting: an analysis based on Dutch accident statistics 1987–2006, Dutch statistics report, 2006. https://doi.org/10.1016/j.aap.2008.10.003
12. [12] Sun C., Lee X., Morenoet I. al. Design of LED Street Lighting Adapted for Free-Form Roads, IEEE Photonics Journal, 2017, Vol. 9, 1, pp. 1–13. https://doi.org/10.1109/JPHOT.2017.2657742
13. [13] Gan F., Grabosky P. Improved Street Lighting and Crime Reduction, the Promise of Crime Prevention, 2nd ed., 2000, ISBN0 642 24172 4; ISSN1326–6004 Canberra, Australian Institute of Criminology.
14. [14] Guler O., Onaygil S. The effect of luminance uniformity on visibility level in road lighting, Lighting Research & Technology, Sep.2003,Vol. 35, 3, pp. 199–215. https://doi.org/10.1191/1365782803li074oa
15. [15] Hirakawa S., Karasawa Y., Funaki T. et al. Evaluation Index of Visibility in Tunnel Lighting, Journal of Light & Visual Environment, , 2014,Vol. 38. https://doi.org/10.2150/jlve.IEIJ130000529
16. [16] Painter K.A., Farrington D.P. Evaluating Situational Crime Prevention a Young People’s Survey, The British Journal of Criminology, London, Spring 2001, V. 41, 2, pp. 266–284. https://doi.org/10.1093/bjc/41.2.266
17. [17] Robbins C.J., Fotios S. Road lighting and distraction whilst driving: Establishing the significant types of distraction roads, Lighting Research & Technology, APR8. 2020. https://doi.org/10.1177/1477153520916515
18. [18] Ekriasa A., Eloholma M., Halonen L. et al. Road lighting and headlights: Luminance measurements and automobile lighting simulations, Building and Environment, Elsevier, Vol.43,4,pp.530–536,2008. https://doi.org/10.1016/j.buildenv.2007.01.017
19. [19] H. Nikunen, Correspondence: A proposed new LED road lighting concept, Lighting Research & Technology, 2014, Vol.46, 2, pp. 238–239. https://doi.org/10.1177/1477153514524902
20. [20] CIE Publication CIE140–2000: Road lighting calculations /ISBN:3–901–906–03–7. https://www.scribd.com/document/351164108/CIE-Road-Light-Calculations-CIE140-2000-pdf
21. [21] Wandachowicz K., Przybyla M. The Measurements of the Parameters of Road Lighting- Theory and Practice, IEEE, 2018, VII. Lighting Conference of the Visegrad Countries (Lumen V4) Proceeding, 2018, pp. 1–5. https://doi.org/10.1109/LUMENV.2018.8521148
22. [22] TS CEN/TR13201–1: Road Lighting, Selection of Road Lighting Classes ,Turkish Standards Institute, 2006.
23. [23] TS EN13201–2: Road Lighting, Performance Characteristics ”, Turkish Standards Institute, 2006.
24. [24] Gaston, K.J., Gaston, S., Bennie, J., et al. Benefits and costs of artificial nighttime lighting of the environment, Environmental Reviews, 2014. https://doi.org/10.1139/er-2014-0041
25. [25] TS EN13201–3:Road Lighting, Calculation of Performance, Turkish Standards Institute, 2006.
26. [26] Sutandi A.C., Pinem, R.D.A. The application of road lighting standard towards sustainable transportation in large cities in Indonesia, Procedia Engineering,2017, Vol. 171,pp.1463–1471. https://doi.org/10.1016/j.proeng.2017.01.471
27. [27] TS EN13201–4:Road Lighting, Lighting Performance Measurement Methods, Turkish Standards Institute, 2006.
28. [28] Lighting with Artificial Booklet 1. Fördergemeinschaft Gutes Licht, 2008.
29. [29] Thomson W.D. Eye problems and visual display terminals – the facts and the fallacies, Ophthalmic Physiol. Opt., Mar.1998,Vol.18,2,pp.111–119. https://doi.org/10.1016/S0275-5408(97)00067-7
30. [30] Buchner A., Mayr S., Brandt M. The advantage of positive text background polarity is due to high display luminance, Ergonomics,2009,Vol.52,7,pp.882–886. https://doi.org/10.1080/00140130802641635
31. [31] Bhattacharya S., Chakraborty S., Ray S. An Approach to Comparative simulation of Road Lighting and Estimation of Associated Quality Parameters, Light& Engineering, 2021,Vol.29,1,pp. 77–87. http://dx.doi.org/10.33383/2020-058
32. [32] Gyurov V., Panchev H. Experimental Research on Light and Energy Parameters of Intelligent Street and Road Lighting Systems, 11th Electrical Engineering Faculty Conference (BulEF),1–4, IEEE Explore Digital Library, Sep. 2019. https://doi.org/10.1109/BulEF48056.2019.9030760
33. [33] Markvica K., Richter G., Lenz G., Impact of urban street lighting on road users’ perception of public space and mobility behavior, Elsevier, Building and Environment,2019, Vol. 154, pp. 32–43. https://doi.org/10.1016/j.buildenv.2019.03.009
34. [34] Bozorg S., Tetri E., Kosonen I. et al. The Effect of Dimmed Road Lighting and Car Headlights on Visibility in Varying Road Surface Conditions, Leukos, 2018, Vol. 14,4,pp.259–273. https://doi.org/10.1080/15502724.2018.1452152
35. [35] Chenani S. B., Vaaja M.T., Kurkela M. et al. Target detection Distances under different road lighting intensities, Transport Research Review: An Access Journal, June 2017,Vol. 9, 2, pp. 1–10, Springer Nature Journals. https://doi.org/10.1007/s12544-017-0234-z
36. [36] Yoomak S., Jettanasen C., Ngaopitakkul A. et al. Comparative study of lighting quality and power quality for LED and HPS luminaires in a roadway lighting system, Elsevier, Energy and Buildings, 2018, Vol. 159, pp. 542–557. https://doi.org/10.1016/j.enbuild.2017.11.060
37. [37] Xu B., Yang S., Lai G. et al. Towards Autonomous Driving Technology: A Method to Enhance Visibility in Fog Based on Low-Position Road Lighting, Proceedings of 2018 IEEE3rd Optoelectronics Global Conference (OGC), Sep 2018, pp. 205–208. https://doi.org/10.1109/OGC.2018.8529877
38. [38] Ogando-Martínez A., Troncoso- Pastoriza F., Granada-Álvarez E. et al. Ellipsoid-based approximation method for the estimation of the actual reduced luminance coefficients of road surfaces for accurate lighting simulations, Elsevier, Sustainable Cities and Society, 2020. https://doi.org/10.1016/j.scs.2020.102502
39. [39] Ekrias A., Eloholma M., Halonen L. et al. Road lighting and headlights: Luminance measurements and automobile lighting simulations, Building and Environment; 2008, Vol.43,pp.530-536. https://doi.org/10.1016/j.buildenv.2007.01.017
40. [40] Kayakus M., Uncu I. Research note: the measurement of road lighting with developed artificial intelligence software, Lighting Research & Technology, 2019, Vol. 51, 6. https://doi.org/10.1177/1477153519825564
41. [41] Kazanasmaz T., Gunaydın M., Binol S. Artificial neural networks to predict daylight illuminance in office buildings, Building and Environment, 2009, Vol. 44, 8, pp. 1751–1757. https://doi.org/10.1016/j.buildenv.2008.11.012
42. [42] Tran D., Tan Y. K. Sensor less illumination control of a networked LED lighting system using feedforward neural network, IEEE transactions on industrial electronics, 2013, Vol. 61, 4, pp. 2113–2121. https://doi.org/10.1109/TIE.2013.2266084
43. [43] Ok Davarci Z. Yol Aydınlatma Sistemlerine Ait Etkinlik Faktorlerinin ve Parıltı Duzgunluğunun Yapay Sinir Agları ile Tahmini, Afyon Kocatepe Universitesi,Fen Bilimleri Enstitusu, Yuksek lisans, Afyon, 2022. https://info:eu-repo/semantics/openAccess
44. [44] Ok Davarci Z. et al. Yol Aydınlatma Sistemlerinde Parlaklığın YSA Tahmini, ELECO 2022, Elektrik-Elektronik ve Biyomedikal Mühendisliği Konferansı , Bursa, Turkey. http://www.eleco.org.tr/ELECO2022/eleco2022_papers/48.pdf
45. [45] Es H. A., Kalender F. Y., Hamzaçebi C. Yapay Sinir Agları ile Turkiye Net Enerji Talep Tahmini, Gazi Univ. Muh. Mim. Fak. Der., 29 (3), 495-504, 2014. https://www.researchgate.net/profile/Coskun-Hamzacebi-2/publication/284449011_
46. [46] Kelesoglu O., Firat A. Tugla Duvardaki ve Tesisattaki Isı Kaybinin Yapay Sinir Agları ile Belirlenmesi, Firat Universitesi Fen ve Muh. Dergisi, 18(2), 133-141, 2006. https://search.trdizin.gov.tr/tr/yayin/detay/64898