Journal of Civil and Environmental Engineering

ISSN: 2165-784X

Open Access

Al-Rukaibi F


  • Research Article
    Neural Network Models for Traffic Noise Quality Prediction: A Comparative Study
    Author(s): Nayef Al-Mutairi and Al-Rukaibi FNayef Al-Mutairi and Al-Rukaibi F

    Problem statement: In the absence of long-range strategic plans, the urban infrastructural growth in Kuwait has been accompanied with significant adverse impacts on the urban environment, and has resulted in the deterioration of the quality of urban life. With this continuous growth, a growing percentage of urban population will be adversely affected by traffic noise pollution. Approach: Traffic-generated noise pollution was monitored at nearly four roadway locations in four districts in metropolitan Kuwait in 2007-2008. At each district, a sample of freeway, arterial, collector, and local residential streets were included in the noise and traffic flow monitoring plan. In addition to the analysis of noise, flow, and their interrelationships, three models – two neural network models and one regression model, were employed to predict traffic noise pollutions. Results: Five uncorre.. Read More»
    DOI: 10.4172/2165-784X.1000106

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