The Performance of CRTN Model in a Motorcycle City

Joint Authors

Sheng, Ni
Xu, Zherui
Li, Min

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

Civil Engineering

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