Journal of Intelligent Transportation and Urban Planning
Journal of Intelligent Transportation and Urban Planning(ITUP)
ISSN:2373-0757(Print)
ISSN:2373-0765(Online)
Frequency: Annually
Website: www.bowenpublishing.com/itup/
Modelling of Urban Traffic Noise in Giza City Based on Traffic Characteristics
Abstract:
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

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