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models developed by different sets of independent variables. The hypothesis was also tested using t-test in order to examine the goodness of fit among the observed and predicted values. It can be concluded that the model based on noise indices gives significantly high correlation coefficient values as compared to other two models. The summarized detail showed that all the models can predict the annoyance level among busy road side dwellers, employees with certain degree of error in comparison to observed noise annoyance. The author says some of suggestions to prevent this type of problems due to road traffic noise are banning hydraulic horns, improvement and streamlining of roads and parking system, discouragement of high sound producing vehicles, and public awareness. By doubleglazing the windows of homes facing the road will reduce the level by up to 20 db (a). Vegetation buffer zones must be created in different parts of the city. In addition design and fabrication of silencing devices and their use in all types of vehicles would also be an effective measure to abate noise pollution [16]. The author examines the problem of noise pollution in the wake of its ill effect on the life of the people. A cross-section survey of the population in Delhi state points out that main sources of noise pollution are loudspeakers and automobiles. However, female population is affected by religious noise a little more than male population. Major effects of noise pollution include interference with communication, sleeplessness, and reduced efficiency. The extreme effects e.g. Deafness and mental breakdown neither is ruled out. Generally, a request to reduce or stop the noise is made out by the aggrieved party. However, complaints to the administration and police have also been accepted as a way of solving this menace. Public education appears to be the best method as suggested by the respondents. However, government and NGOs can play a significant role in this process. The author explored the sources, effects, reactions and suggestions for controlling the excessive noise. Automobiles and public address system (loudspeakers) turns out to be major sources of noise pollution. It is noted that loudspeakers are frequently used for religious functions (and temple prayers). Disturbance by loudspeakers and automobiles is felt by age groups of 20-40 years somewhat lesser than other groups. Across various age groups, there is almost an equal proportions of respondent reporting neighbourhood, music and religions functions as sources of noise. The survey indicated that noise affects individuals in several ways. It results in improper communication, sleeplessness and reduced efficiency. Though the psycho-somatic effects (annoyance and depression) are also common yet the extreme effects e.g. Deafness and mental breakdown are not ruled out. In a majority of cases, the affected party tenders a request to stop [17]. Authors had presented a novel approach to monitor noise pollution involving the general public. They had presented noise tube, a project aimed at developing a participative noise pollution monitoring platform to enable citizens as well as governmental bodies and non-governmental organisations to gain awareness and insight into the problem of urban noise pollution. Finally they symphonized the difficulties to evaluate and deploy this approach in real world situations, due to technological, social and open research challenges that need to be resolved before the democratization of environmental sensing through citizen science can succeed [18]. Methodology In this study an effort is made to compare the noise level in some main areas of Tirupur city during the morning hour and evening hour traffic using sound level meter. Since noise level varies with atmospheric conditions, in each area respective temperature and its humidity has also been recorded. The noise level also varies according to the no of vehicles passing so the total vehicles were also recorded during the study. The readings were taken during early hours of the day (6.30 AM to 9.30 AM) and during evening rush hours (6.30 AM to 9.30 AM) and with those readings comparison of noise level are done. The comparison of noise data is plotted in the form of chart so that it makes convenient to differentiate the traffic noise. In each area for each a minute readings were taken almost for 15 minutes. The following parameters like 1. Total vehicle volume per hour 2. Atmospheric temperature in degree Celsius 3. Relative humidity in percentage. 4. Type of vehicles crossing the area during the study. 5. Noise level in that area were all recorded in order to have a brief study of vehicular noise in Tirupur city. Noise measurements were done at a distance of 3m from road side at an elevation of 130cm above the road surface. A and C sound level meter type SL-4001 with the capacity of measuring noise from 30 dB to 130 dB was used for measurements. Humidity in % and temperature in degree Celsius was measured by Thermo- hygrometer Keerthana et al., Sch. J. Eng. Tech., 2013; 1(3):154-168 158 ATC-288 in each area. For averaging purpose the study is conducted repeatedly and the average value is taken for the results analysis. This study is done to identify the amount of noise generated at same time and same place during morning and evening hours so that we can know how much the 

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