Input Data for Tram Noise Analysis

被引:7
|
作者
Panulinova, Eva [1 ]
机构
[1] Tech Univ Kosice, Fac Civil Engn, Inst Struct Engn, Dept Geotech & Traff Engn, Vysokoskolska 4, Kosice 04002, Slovakia
关键词
Calculation methodology; input parameters; noise leve; tram transport;
D O I
10.1016/j.proeng.2017.05.351
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The European Union passed the Environmental Noise Directive in 2002. The Directive deals with issues relating to the assessment and management of environmental noise in Member States. This main EU instrument requires that the information on environmental noise and its effects are predicted as accurately as possible. In general, the most accurate data on noise levels can be collected by measurement; however, it is a lengthy and complicated method, inapplicable to making predictions of noise levels in practice. The acoustic situation is therefore more easily determined by calculation. The Directive recommends the "Schall 03" Methodology for the calculations of tramway noise levels. Strategic noise maps are regularly produced to provide an overview on noise levels in residential areas and noise management action plans are prepared to reduce unacceptable exposures to noise. The article analyses input parameters used in the calculations of final levels of tramway noise. The basis for the analysis was a parametric study of input data, field measurements and the statistical evaluation of the measurement results. After making some generalizations and analyzing the influence of individual parameters on the calculation of tramway noise levels, it can be stated that the emphasis in calculations should be placed on the most accurate determination of the speed of a tram. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:371 / 376
页数:6
相关论文
共 50 条
  • [21] Standard input CMOS gain stages noise analysis
    Danchiv, Andrei
    Bodea, Mircea
    Dan, Claudius
    CAS 2005: INTERNATIONAL SEMICONDUCTOR CONFERENCE, 2005, 1-2 : 375 - 378
  • [22] ASSESSMENT OF NOISE INSIDE A TRAM DURING A RIDE AND AT A STANDSTILL
    Orczyk, Malgorzata
    Tomaszewski, Franciszek
    Czechyra, Bartosz
    Szymanski, Grzegorz M.
    PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS, 2016,
  • [23] Monitoring of Tram Traffic Noise in the Small Curve Radius
    Panulinova, Eva
    Harabinova, Slavka
    DYNAMIC OF CIVIL ENGINEERING AND TRANSPORT STRUCTURES AND WIND ENGINEERING, 2014, 617 : 120 - 123
  • [24] Input Data Analysis by Neural Network
    Hendtlass, Tim
    JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2010, 7 (05) : 862 - 867
  • [25] Climatic data analysis for input to ShipIR
    Vaitekunas, David A.
    Kim, Yoonsik
    INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XXIV, 2013, 8706
  • [26] Input Data Analysis by Neural Network
    Hendtlass, Tim
    2008 THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, 2008, : 49 - 53
  • [27] The impact of tram track fastening systems on noise level
    Lakusic, S
    Dragcevic, V
    Rukavina, T
    Urban Transport XI: URBAN TRANSPORT AND THE ENVIRONMENT IN THE 21ST CENTURY, 2005, : 487 - 497
  • [28] Reduction of tram noise by using a rail lubrication device
    Zuchowski, Rafal
    Nowoswiat, Artur
    Kucharski, Ireneusz
    APPLIED ACOUSTICS, 2023, 210
  • [29] SQUEALING NOISE ABATEMENT TECHNIQUES IN ATHENS TRAM NETWORK
    Vogiatzis, Konstantinos
    Argyropoulos, Jossef
    Veletsos, Panagiotis
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONGRESS ON SOUND AND VIBRATION, 2010,
  • [30] Tram Squealing Noise and Its Impact on Human Health
    Panulinova, Eva
    Harabinova, Slavka
    Argalasova, Lubica
    NOISE & HEALTH, 2016, 18 (85): : 329 - 337