Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes0-29921 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 19 article 897 pages: 1150-1162

Amir Esmael Forouhid
Islamic Azad University, Parand Branch, Department of Civil Engineering, Parand, Iran

Amir Falah Zadeh
Islamic Azad University, North Branch, Department of Civil Engineering, Tehran, Iran

Jafar Mahmoudi
KTH, School of Industrial Engineering and Management, Department of Sustainable Production Development, Stockholm, Sweden

This research aimed at modeling interrupted flow traffic noise at a signalized intersection. In this study, a new approach has been used with SPSS and Arc GIS with urban road traffic noise. The measured parameters of noise include noise equivalent level, volume of light vehicles, heavy vehicles and time mean speed. The results showed that the Spearman correlation coefficient between the interface and the level of the noise at morning, evening and total time were 0.241, 0.35 and 0.45. The spearman correlation coefficient between the interface of the buildings and the intersection of all types of vehicles passing through the morning, evening and total time equal to 0.534, 0.328 and 0.409. The results showed that noise level can be predicted through the speed variables of the vehicles, the volume of vehicles passing heavy and the use of land use of buildings. According to the results and the noise maps for the modeling noise of the estimated coefficients from the equation, it can be found that in building highway in urban, closer look on internationally acting Green Building Labels and noise protection is seen as an important part of the social sustainability aspects of a building.

View article

1. Golmohamadi, Rostam. Abbaspoor, Majid. Nasiri, Parvin. Mahjoob, Hossein. 2006, Modeling Sound Pollution Traffic Main cities (Case study: Hamedan Town) PhD thesis Islamic Azad University Unit of Sciences and Researches.

2. Banerjee, D., Chakraborty, S.K., Bhattacharyya, S., and Gangopadhyay, A. 2008. Modeling of road traffic.

3. Jeong, C.S., Tae, H.P., Joon, H.K., Seo, I.C., Minho, K., James, B.H. and Mohammed, R.M. 2011. Modeling of road traffic noise and estimated human exposure in Fulton County, Georgia, USA. Journal of Environment International, 37: 1336-1341. DOI: 10.1016/j.envint.2011.05.019

4. Subramani, T., & Sounder, S. A Case Study And Analysis Of Noise Pollution For Chennai Using GIS. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), (2016), 5(3), 125-134.

5. Mandal P.K., Bandyopadhyay A., Case study from West Bengal, India: Management of noise levels during festival time in Kolkata and Howrah Mu- nicipal Corporation Areas from 2002 to 2011, Environ- mental Quality Management, (2014), 23, 13–32. DOI: 10.1002/tqem.21366

6. BIM & Sustainability Sara Kamel (2018), LEED GA Dubai Municipality.

7. Department of Environment, Climate Change and Water, NSW Road Noise Policy. March 2011. United States.

8. Coensel B.D, Botteldooren D, Vanhove F, Logghe S. Microsimulation Based Corrections on the Road Traffic Noise Emission Near Intersections. ACTA Acustica United with Acustica 2006, Vol. 93. p. 241-252.11.

9. Zoghi, H., Haj Ali, M., Jafari Haghighat Pour, P., Traffic Engineering (Analytical-Applied), Kian Publication, Tehran, (2015). (In Persian).

10. Mahdavi Damghani, Babak (2012). "The Misleading Value of Measured Correlation". Wilmott 2012 (1): 64–73. doi:10.1002/wilm.10167.

11. Aldrich, John (1995). "Correlations Genuine and Spurious in Pearson and Yule". Statistical Science 10 (4): 364–376. doi:10.1214/ss/1177009870. JSTOR 2246135.

12. ArcDesktop GIS package,

13. Determining the permissible limit of noise pollution in domestically produced vehicles, (2002), approved by the Supreme Environmental Council. THE EUROPEAN PARLIAMENT AND THE COUNCIL OF THE EUROPEAN UNION.

14. Surface assessment Level alignment. Level Distribution of noise pollution by using geographical information system (GIS) In area one District Six of Tehran In the year 1395-96: Case report. Journal of Rafsanjan University of Medical Sciences. February 2019 , Volume 17 , Number 11 ; Page(s) 1077 To 1092.

15. E. Chevallier, A. C., M. Nadji, L. Leclercq. 2009. " Improving noise assessment at intersections by modeling traffic dynamics". Universite de Lyon. DOI: 10.1016/j.trd.2008.09.014

16. Guarnaccia, C. (2010) "Analysis of Traffic Noise in a Road Intersection Configuration",WSEAS TRANSACTIONS on SYSTEMS, Volume 9, 865-874.

17. Bilaşco, Ş., Govor, C., Roşca, S., Vescan, I., Filip, S., & Fodorean, I. GIS model for identifying urban areas vulnerable to noise pollution: case study. Frontiers of Earth Science, (2017), 11(2), 214-228.

18. Ki-Hyunkim, D. X. H., Richard J.C. Brown, J.-M. OH, Chan Goo Park, In Cheolryu (2012)" Some insights into the relationship between urban air pollution and noise levels", Science of the Total Environment, 424, 271-279.

19. Acoustic- Description and measurement of environmental noise part 7: basic quantities and procedures. (ISO 1996/1:1987).