Road traffic noise prediction model “ASJ RTN-model 2018” proposed by the acoustical society of Japan - Part 5: Study on prediction accuracy

Katsuya Yamauchi, Terutoshi Tajika, Akinori Fukushima, Ken Anai

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper introduces the study on prediction accuracy of the ASJ RTN-Model 2018, as a part of the series of five papers which has same main title in this congress, on behalf of the research committee on road traffic noise in the Acoustical Society of Japan. It is very important to examine the prediction accuracy of the new model, because some assumptions are included in modeling the source power level of each type of vehicles and in simplifying the calculation of noise propagation. Some examination of the correspondence between the predicted values and measured traffic noise levels are introduced in this paper. The accuracy of the method of prediction for noise behind building complex are also examined. The measured values were obtained recently in Japan on flat and strait section of general roads and on expressways. This paper also introduces the examination on assumed causes of errors that are thought to be important in considering prediction accuracy, such as the condition setting of hypothetical traffic lanes, vehicle type classification, and some typical causes of uncertainty on actual measurement.

    Original languageEnglish
    Title of host publicationProceedings of the 23rd International Congress on Acoustics
    Subtitle of host publicationIntegrating 4th EAA Euroregio 2019
    EditorsMartin Ochmann, Vorlander Michael, Janina Fels
    PublisherInternational Commission for Acoustics (ICA)
    Pages3720-3726
    Number of pages7
    ISBN (Electronic)9783939296157
    DOIs
    Publication statusPublished - 2019
    Event23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019 - Aachen, Germany
    Duration: Sept 9 2019Sept 23 2019

    Publication series

    NameProceedings of the International Congress on Acoustics
    Volume2019-September
    ISSN (Print)2226-7808
    ISSN (Electronic)2415-1599

    Conference

    Conference23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
    Country/TerritoryGermany
    CityAachen
    Period9/9/199/23/19

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Acoustics and Ultrasonics

    Fingerprint

    Dive into the research topics of 'Road traffic noise prediction model “ASJ RTN-model 2018” proposed by the acoustical society of Japan - Part 5: Study on prediction accuracy'. Together they form a unique fingerprint.

    Cite this