QUT ePrints

Large area noise evaluation

Chung, Edward, Bhaskar, Ashish, & Kuwahara, Masao (2007) Large area noise evaluation. In Morrison, G.M. & Rauch, S. (Eds.) Highway and Urban Environment, Springer, pp. 579-589.

[img] Accepted Version (PDF 758kB)
Administrators only | Request a copy from author

    View at publisher


    A software tool (DRONE) has been developed to evaluate road traffic noise in a large area with the consideration of network dynamic traffic flow and the buildings. For more precise estimation of noise in urban network where vehicles are mainly in stop and go running conditions, vehicle sound power level (for acceleration/deceleration cruising and ideal vehicle) is incorporated in DRONE. The calculation performance of DRONE is increased by evaluating the noise in two steps of first estimating the unit noise database and then integrating it with traffic simulation. Details of the process from traffic simulation to contour maps are discussed in the paper and the implementation of DRONE on Tsukuba city is presented.

    Impact and interest:

    0 citations in Web of Science®
    Search Google Scholar™

    Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

    These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

    Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

    ID Code: 53152
    Item Type: Conference Paper
    Keywords: DRONE, traffic noise, vehicle sound
    DOI: 10.1007/978-1-4020-6010-6_50
    ISBN: 9781402060106
    ISSN: 1571-4780
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
    Divisions: Current > Schools > School of Civil Engineering & Built Environment
    Current > Institutes > Institute for Future Environments
    Current > QUT Faculties and Divisions > Science & Engineering Faculty
    Current > Research Centres > Smart Transport Research Centre
    Copyright Owner: Copyright 2007 Springer
    Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com
    Deposited On: 16 Aug 2012 12:49
    Last Modified: 13 Apr 2013 01:21

    Export: EndNote | Dublin Core | BibTeX

    Repository Staff Only: item control page