The Performance of CRTN Model in a Motorcycle City
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The Calculation of Road Traffic Noise (CRTN) model is one of the first traffic noise prediction models in the world and has been widely used in many Western countries.
However, its performance in a motorcycle city has not been well assessed.
This study aims to examine the accuracy of the CRTN model in predicting traffic noise in an Asian city with over half of motor vehicles being motorcycles.
The performance of the CRTN model in predicting both roadside and vertical distributions of traffic noise levels is assessed.
The results show that the performance of the CRTN model is satisfactory in predicting roadside traffic noise levels, with an R2 of 0.832 and a mean difference of +0.52 dB(A) between the measured and predicted values.
The performance of the CRTN model is also satisfactory in predicting vertical distribution of traffic noise levels, with an R2 of 0.836 and a mean difference of +0.28 dB(A) between the measured and predicted values.
American Psychological Association (APA)
Sheng, Ni& Xu, Zherui& Li, Min. 2015. The Performance of CRTN Model in a Motorcycle City. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073625
Modern Language Association (MLA)
Sheng, Ni…[et al.]. The Performance of CRTN Model in a Motorcycle City. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073625
American Medical Association (AMA)
Sheng, Ni& Xu, Zherui& Li, Min. The Performance of CRTN Model in a Motorcycle City. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073625