+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Comprehensive approach for the development of traffic noise prediction model for Jaipur city

Comprehensive approach for the development of traffic noise prediction model for Jaipur city

Environmental Monitoring and Assessment 172(1-4): 113-120

The main objective of the present study was to develop an empirical noise prediction model for the evaluation of equivalent noise level (Leq) in terms of equivalent traffic density number under heterogeneous traffic flow conditions. Ten commercial road networks are selected for monitoring and modeling. A new factor, i.e., equivalent number of light vehicles (EqLv) and for heavy vehicles (EqHv), has been used for evaluating the equivalent traffic density for each class of vehicles, and correlation graphs are plotted between equivalent traffic density with respect to EqLv and EqHv and observed equivalent noise level [Leq(o)] for the calculation of equivalent noise levels in terms of light vehicles [Leq(Lv)] and heavy vehicles [Leq(Hv)] for different identified locations as well as for the entire city. Furthermore, regression noise prediction equations have been developed between Leq(o), Leq(Lv), and Leq(Hv). After comparison of the results, it can be depicted that the light motor vehicles are the main source of noise pollution in the city and gives significantly higher correlation coefficient values. This model can be applied for the calculation of road traffic noise under interrupted traffic flow conditions in urban areas of Indian cities.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 052269978

Download citation: RISBibTeXText

PMID: 20140507

DOI: 10.1007/s10661-010-1320-z

Related references

Development of a noise prediction model under interrupted traffic flow conditions: a case study for Jaipur city. Noise and Health 11(45): 189-193, 2010

A modified Nordic prediction model of road traffic noise in a Taiwanese city with significant motorcycle traffic. Science of the Total Environment 432: 375-381, 2012

Development of a traffic noise prediction model for an urban environment. Noise and Health 16(68): 63-67, 2014

Development of a traffic noise prediction model on inland waterway of China using the FHWA. Science of the Total Environment 482-483: 480-485, 2014

Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition. Environmental Modeling and Assessment 14(2): 251-257, 2009

Analysis and prediction of traffic noise in a mountain city. Huanjing Kexue 12(2): 38-41, 95, 1991

Road traffic noise assessment and modeling of Sambalpur city, India A comprehensive, comparative and complete study. 2013

Traffic noise in Lahore City, Pakistan. Part II. Vehicular contribution to traffic noise. Pakistan Journal of Scientific and Industrial Research 49(4): 256-260, 2006

Traffic noise in Lahore city, Part I: Road traffic noise. Pakistan Journal of Scientific and Industrial Research 47(5): 340-344, 2004

Vehicular traffic noise prediction using soft computing approach. Journal of Environmental Management 183: 59-66, 2016

A traffic noise model for road intersections in the city of Cartagena de Indias, Colombia. Transportation Research Part D: Transport and Environment 47: 149-161, 2016

A theoretical-statistical model for urban road traffic noise prediction. Huanjing Kexue 21(6): 1-5, 2000

A basic neural traffic noise prediction model for Tehran's roads. Journal of Environmental Management 91(12): 2529-2534, 2010

An inland waterway traffic noise prediction model for environmental assessment in China. International Journal of Environmental Science and Technology 13(5): 1235-1244, 2016

Ear damage caused by traffic noise in a large city; studies on the traffic police of Vienna. Monatsschrift für Ohrenheilkunde und Laryngo-Rhinologie 91(6): 348-364, 1957