Journal of Intelligent Transportation and Urban Planning
Journal of Intelligent Transportation and Urban Planning(ITUP)
Frequency: Annually
Modelling of Urban Traffic Noise in Giza City Based on Traffic Characteristics
Noise is identified as a serious environmental problem which is not sufficiently investigated in Egypt. In this paper, equivalent continuous sound level, LAeq, and noise level exceeded by 10% of the measurement period, L10, were modeled using linear regression and multilayer perceptron neural networks in Giza, a city in Greater Cairo Area. The modeling process was based mainly on equivalent traffic flow and the percentages of vehicles categories to minimize data collection efforts and costs. The results show the importance of traffic flow and vehicles composition as explanatory variables that affect the emitted noise levels. Moreover, the results show the capability of artificial neural networks to provide accurate results, especially when compared to linear regression models. On the other hand, linear regression proved efficient for application in simple models. The model will present a step forward to focus on traffic noise issues in congested cities of Egypt. In addition, it will help scientists and urban designers to deal with current noise pollution issues and to avoid them in designs for future.
Keywords:Traffic Noise; Multilayer Perceptron Neural Networks
Author: K. Habib,D. Said,H. Hozayen


  1. WHO Training Package for the Health Sector, World Health Organization. Available:
  2. Demographia. (2010). World Urban Areas Population Projections (From 6th Edition of World Urban Areas),
  3. P. D. Marathe, “TRAFFIC NOISE POLLUTION”, IJED, vol. 9, pp. 63-68, 2012.
  4. B. Tandel, J. Macwan, and P. N. Ruparel “Urban Corridor Noise Pollution: A case study of Surat city, India” in International Conference on Environment and Industrial Innovation, Singapore, vol. 12, pp. 144-148. 2011.
  5. R. Vijay, A. Sharma, T. Chakrabarti, and R. Gupta, “Assessment of honking impact on traffic noise in urban traffic environment of Nagpur, India”, J Environ. Health Sci. Eng., vol. 13, 2015.
  6. S. Abo-Qudais and A. Alhiary, “Effect of traffic characteristics and road geometric parameters on developed traffic noise levels,” Journal of the Canadian Acoustical Association - Reveu de l’ Association canadienne d’ acoustique, vol 33, pp. 43-50, 2005.
  7. Der Bundesminister Fur Verkehr - DBV. RLS/90: Richtlinien fur den Larmschutz an Strapen, 1990.
  8. Department of Transport, CoRTN Calculation of Road Traffic Noise, London, Her Majesty’s Stationery Office (HMSO), 1988.
  9. S. Ali and A. Tamura, “Road traffic noise mitigation strategies in Greater Cairo, Egypt,” Applied Acoustics, vol. 63, pp. 1257-1265, 2002.
  10. S. Ali, “Study effects of school noise on learning achievements and annoyance in Assiut city, Egypt,” Applied acoustics, vol. 74, pp. 602-606, 2013.
  11. M. A. Burgess, “Noise prediction for urban traffic conditions-related to measurements in the Sydney Metropolitan Area,” Applied Acoustics, vol. 10, pp. 1-7, 1977.
  12. C. Fagotti and A. Poggi, “Traffic noise abatement strategies: The Analysis of Real Case not Really Effective,” in Proceedings of the 18th International congress for noise Abatement, Bologna, pp. 223-233, 1995.
  13. D. Cvetkovic, M. Prascevic, and V. Stojanovic, “NAISS-Model for traffic noise prediction,” The scientific journal FACTA Universitatis, vol. 1, pp.73-81. 1997.
  14. A. Calixto, F. Diniz, and P. Zannin, “The statistical modelling of road traffic noise in an urban setting,” Cites, vol. 20, pp. 23-29. 2003.
  15. R. A. Melo, R. L. Pimentel, D. M. Lacerda, and W. M. Silva, “Applicability of models to estimate traffic noise for urban roads”, Journal of Environmental Health Science & Engineering, vol. 13(83), 2015.
  16. E. C. da Paz and P. H. T. Zanni, “Urban daytime traffic noise”, Environ Monit Asses, vol. 163, pp. 515-529, 2009.
  17. J. Romeu, M. Genesca, T. Pamies, and S. Jimenez, “Street categorization for the estimation of day levels using short-term measurements”, Applied acoustics, vol. 72, pp. 569-577, 2011.
  18. N. Genaro, A. Torija, A. Ramos-Ridao, I. Requena, D. P. Ruiz, and M. Zamorano, “A neural network based model for urban noise prediction,” The journal of the Acoustical Society of America, vol. 128, pp. 1738-1746, 2010.
  19. F. Cirianni and G. Leonardi, “Environmental Modeling for Traffic Noise in Urban Area,” American Journal of Environmental Science, vol. 8, pp. 345-351, 2012.
  20. P. Kumar, S. Nigam, and N. Kumar, “Vehicular traffic noise modeling using artificial neural network approach,” Transportation Research Part C, Emerging Technologies, vol. 40, pp. 111-122. 2014.
  21. N. Garg, S. Mangal, and P. Saini, P. Dhiman, and S. Maji, “Comparison of ANN and Analytical Models in Traffic Noise Modeling and Predictions,” Acoustics Australia, vol. 43, pp. 179-189, 2015.