Open AccessDevelopment of a noise prediction model under interrupted traffic flow conditions: A case study for Jaipur city
Author(s) -
Saurabh Agarwal,
B. L. P. Swami,
Akhilendra Bhushan Gupta
Publication year - 2009
Publication title -
noise and health
Language(s) - English
Resource type - Journals
eISSN - 1998-4030
pISSN - 1463-1741
DOI - 10.4103/1463-1741.56211
Subject(s) - noise (video) , environmental science , traffic flow (computer networking) , traffic noise , statistics , flow (mathematics) , transport engineering , computer science , mathematics , engineering , noise reduction , geometry , computer security , artificial intelligence , image (mathematics)
The objective of this study is to develop an empirical noise prediction model for the evaluation of equivalent noise levels (Leq) under interrupted traffic flow conditions. A new factor tendency to blow horn (AH) was introduced in the conventional federal highway administrative noise prediction (FHWA) model and a comparative study was made between FHWA and modified FHWA models to evaluate the best suitability of the model. Monitoring and modeling of Leq were carried out at four selected intersections of Jaipur city. After comparison of the results, it was found that the modified FHWA model could be satisfactorily applied for Indian conditions as it gives acceptable results with a deviation of +/-3 dB (A). In addition, statistical analysis of the data comprising measured and estimated values shows a good agreement. Hence, the modified FHWA traffic noise prediction model can be applied to the cities having similar traffic conditions as in Jaipur city.