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¬Traffic Noise Predection Model For Mohammed Al-Qassim Freeway In Baghdad Environment | ||
| Journal of Engineering and Sustainable Development | ||
| Article 1, Volume 17, Issue 6, 2013, Pages 111-122 | ||
| Author | ||
| Nawal Dawood Salman | ||
| Abstract | ||
| Noise is one of the environmental pollutants that is encountered in daily life. While rapid increasing of number of vehicles in Iraq, the noise and air pollution rate are increased. In present study a freeway traffic noise prediction model for Mohammad AlQassim Freeway in Baghdad city condition is developed using multiple regression analysis technique. Traffic volume, percent of heavy vehicle along freeway measured manually and average sound level (Leq) dBA, were measured using (Victor 824 A Digital Sound Level Meter) instrument. The collected data had been analyzed, the model was developed considering satisfactory as it gives accepted results, with R2 value of (0.762). The coefficient of correlation R2 value for observation and estimated noise level by RNM is (0.777). | ||
| Keywords | ||
| Traffic noise model; Traffic noise; Traffic volume | ||
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