Application of Ann for Modelling Noise Descriptors at Interrupted Traffic Flow

نویسنده

  • D. K. Parbat
چکیده

The noise generated from the vehicular traffic flow is a major source of environmental pollution. The present paper reports the evaluation of the noise measurement due to vehicular traffic flow at interrupted flow condition in intermediate Yavatmal city, district place of Vidarbha region in Maharashtra (India). Traffic volume data and noise level data are collected at all the identified two major Intersections of the city. The noise level data were recorded with precision sound level meter (TES-1352 A, data logger SLM, IEC651, Type2, ANSI S1.4) at the interval of 2 second during peak (morning and evening) and non-peak hours (afternoon). To assess the extent of noise pollution, data is processed in Excel package and noise descriptors, TNI and NC were computed. Simultaneously, traffic volume data were collected at each location. Artificial neural network modeling is performed and used for prediction of noise parameters.

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تاریخ انتشار 2013