A Review on Road Traffic Noise Pollution and Modeling using Multiple Linear Regression

Authors

  • Riddhi S. Solanki Student, Civil Engineering Department, Sarvajanik College of Engineering and Technology
  • Ankita A. Parmar Assistant Professor, Civil Engineering Department, Sarvajanik College of Engineering and Technology

Keywords:

Road Traffic Noise, Noise Levels dB(A), Traffic Volume, Multiple Linear Regression Analysis, Traffic volume count, Temperature (°C), Humidity (%)

Abstract

Technological process has brought many conveniences, but it has also resulted in many hazards. Noise
pollution is one of the types of it. Noise is one of the most undesirable products of a modern and mechanized way of life.
Higher exposures to high noise levels may cause variety of biological reflexes and responses. Different types of
mathematical models are available for noise modeling like ANN (Artificial Neural Network), ASJ (Acoustical Society of
Japan), MLR (Multiple Linear Regressions).

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Published

2018-02-25

How to Cite

Riddhi S. Solanki, & Ankita A. Parmar. (2018). A Review on Road Traffic Noise Pollution and Modeling using Multiple Linear Regression. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 340–343. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2335

Issue

Vol. 5 No. 2 (2018): Volume 5 Issue 2 February 2018

Section

Articles