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ground, effect of shielding, and angle of view. The results of the investigation showed that the minimum and the maximum noise levels are 46 dB(a) and 81 dB(a) during day-time and 58 dB(a) and 71 dB(a) during night-time. The measured noise level exceeded the 62 dB(a) acceptable limit at most of the locations. The CTRN prediction model was successful in predicting noise levels at most of the locations chosen for this investigation, with more accurate predictions for night-time measurements. This study was carried out to evaluate the environmental noise pollution in the city Of Amman due to traffic noise, to investigate the diurnal variations of traffic noise levels in the city, to assess and rate noise exposure in the different urban zones of the city, to predict traffic noise levels in the city using the CTRN method starting from the knowledge of traffic flow and composition [10]. This paper reports the evaluation study subjective analysis of the traffic noise annoyance impact on the quality of life among resident‘s around the major arterials in intermediate city; Amravati, district place in Maharashtra state (India). A total of 500 individuals in the vicinity of arterials were questioned in writing for their perceptions and attitudes towards road traffic noise. The health effects of noise pollution were analyzed with the help of questionnaire survey. More than half of the total sample population around two major arterials in Amravati city expressed annoyance with traffic noise during daily activities. Of these, 16.8% were ―extremely‖ and 21.1% ―very much‖ annoyed, 18.3% to ―some extent‖ and ―little‖ and 25.5% ―none‖ annoyed. The reported annoyance level reached its maximum during the noon hours for nearly 47% of the sample population [14]. The author focuses on the identification of traffic intensities and noise level measured at selected traffic sites in the Varanasi city. Noise levels recorded in the city, are much higher than the permissible level and are likely to cause associated health and psychological illnesses to nearby inhabitant. This paper describes the traffic impact on environment of Varanasi, UttarPradesh, India for the year 2008.The traffic congestion caused by various factors and situation pollutes the air and produces agents responsible for health hazards. This congestion is caused by insufficient capacity and bottlenecks. The lack of pedestrian, bicycle and informal public transport (auto rickshaws, taxi and private buses) contributes to more than 30% of the traffic congestion. Improvement in the management can lead to saving of time and effectively lessen the congestion and jams. Some tactics should be used to aware the people about traffic rules and consequences of the pollution caused by traffic. The traffic congestion contributes to air and noise pollution which effects more on the communities living around the main roads and places. Slum dwellers face the pollution from the motorized vehicles while pedestrians face the threat of being killed or injured by poor management of vehicles. Comprehensive inspection and maintenance policy to ensure minimum quality of life is inconceivable in the foreseeable future. Whatever has come as sporadic norms can probably not be forced upon. Observance of the policy cannot be assumed from the top. So there is need of the awareness form the root level i.e. Citizens [7]. Hamid Reza Ranjbar analyses and investigates the impact of traffic noise on high rise buildings and surrounding areas by the side of hem mat highway that links west of Tehran to the east. In this study, a 3D traffic noise simulation model is applied on a GIS system, visualized noise levels are formulated by the proposed model for noise mapping on all surfaces of the buildings and surrounding ground in a 3D platform. The assessment was done by combining the proposed model of traffic noise and 3D model of the study area in GIS environment. Initially the noise prediction model was presented with regards to their study area, it was then evaluated by measuring some control points in the field In the investigation results of noise impact from the motorway at this study area showed that the front facades of buildings receive the highest noises impact in comparison to all other building panels. By considering the natural condition of the study area and economical aspects, installing cantilever barriers could be an effective approach for noise attenuation in this area [15]. Author says noise pollution is not properly recognized despite of the fact that it is steadily growing in developing countries like India and in particular in the city Agartala. It is well established now that road Keerthana et al., Sch. J. Eng. Tech., 2013; 1(3):154-168 157 traffic noise is a potential hazard to health and is becoming an unjustifiable interference and imposition upon human comfort and quality of modern life. In swiftly urbanizing Agartala city, the transportation sector is growing rapidly. This has led to overcrowded roads and noise pollution in the city. In this study the results showed that there is a relationship between traffic noise and its annoyance on daily life of busy road side dwellers, employees in road side offices, banks etc.. A field survey was conducted for the calculation of percentage of highly annoyance among the individuals at eight heavy to medium congested corridors of the city. Collected data were compared with the regression 

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