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Study on road traffic noise prediction model taking into account the citywide network

Oshino, Yasuo, Tsukui, Keisuke, Hanabusa , Hisatomo, Bhaskar, Ashish, Chung, Edward, & Kuwahara, Masao (2007) Study on road traffic noise prediction model taking into account the citywide network. In Proceedings of the 36th International Congress and Exhibition on Noise Control Engineering, Volume 7, Curran Associates, Inc. / Turkish Acoustical Society , Istanbul, Turkey, pp. 4770-4775.

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      Abstract

      For the further noise reduction in the future, the traffic management which controls traffic flow and physical distribution is important. To conduct the measure by the traffic management effectively, it is necessary to apply the model for predicting the traffic flow in the citywide road network. For this purpose, the existing model named AVENUE was used as a macro-traffic flow prediction model. The traffic flow model was integrated with the road vehicles' sound power model, and the new road traffic noise prediction model was established. By using this prediction model, the noise map of entire city can be made. In this study, first, the change of traffic flow on the road network after the establishment of new roads was estimated, and the change of the road traffic noise caused by the new roads was predicted. As a result, it has been found that this prediction model has the ability to estimate the change of noise map by the traffic management. In addition, the macro-traffic flow model and our conventional micro-traffic flow model were combined, and the coverage of the noise prediction model was expanded.

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      ID Code: 49946
      Item Type: Conference Paper
      Keywords: Noise Reduction, Traffic Flow, Traffic Management
      ISBN: 978-1-60560-385-8
      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 > QUT Faculties and Divisions > Science & Engineering Faculty
      Copyright Owner: Copyright 2007 Please consult the authors.
      Deposited On: 30 Apr 2012 13:18
      Last Modified: 01 Jul 2012 17:12

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