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@article{144628,
        author = {Gollamandla Sukeerth and Dr. N.Munilakshmi and Chammireddy Anilkumarreddy},
        title = {PREDICTION OF ROAD TRAFFIC NOISE LEVELS IN TIRUPATI TOWN USING ANALYTICAL MODELS AND NEURAL NETWORKS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {1},
        pages = {233-238},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144628},
        abstract = {Current increases in population growth have resulted in an increased transportation demand worldwide. Due to increasing motorization and Transport network, the noise level has exceeded the prescribed limits in numerous Indian cities. Migration of people from rural to urban areas, development of urban areas, infrastructure development, population growth and urbanization are important component resulting in motorization and consequent increase in levels of various urban noise pollution. With the advancement of industrialization at an unprecedented pace, the urban centres of today’s world have experiencing heavy noise pollution which has become a part of our day-to-day lives. 
The present study measures traffic volume and noise levels during the peak traffic flow in the selected areas of Tirupati town. The traffic volume studies are carried out by means of manual methods prescribed by Indian Standards and noise levels are measured following standard procedure using Sound Pressure Level Meter. The obtaining results are used to validate the existing mathematical models and  Neural Network are used for the prediction of noise levels of Tirupati town.
},
        keywords = {Traffic noise pollution, Traffic volume, octave band analyser. Neural networks},
        month = {},
        }