Investigation into the noise map based on traffic flow prediction in the citywide road network
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CS37-276_Oshino.pdf. |
Description
As one of the measures for decreasing road traffic noise in a city, the control of the traffic flow and the physical distribution is considered. To conduct the measure effectively, the model for predicting the traffic flow in the citywide road network is necessary. In this study, the existing model named AVENUE was used as a traffic flow prediction model. The traffic flow model was integrated with the road vehicles' sound power model and the sound propagation model, and the new road traffic noise prediction model was established. As a case study, the prediction model was applied to the road network of Tsukuba city in Japan and the noise map of the city was made. To examine the calculation accuracy of the noise map, the calculated values of the noise at the main roads were compared with the measured values. As a result, it was found that there was a possibility that the high accuracy noise map of the city could be made by using the noise prediction model developed in this study.
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ID Code: | 58736 | ||
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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Measurements or Duration: | 6 pages | ||
ISBN: | 2226-5147 | ||
Pure ID: | 33830823 | ||
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > Smart Transport Research Centre |
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Copyright Owner: | Copyright 2006 [please consult the author] | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 27 Mar 2013 22:13 | ||
Last Modified: | 08 Mar 2024 15:27 |
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