Investigation into the noise map based on traffic flow prediction in the citywide road network

Yasuo Oshino, Keisuke Tsukui, Hisatomo Hanabusa, Ashish Bhaskar, Edward Chung, Masao Kuwahara

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages6P
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event6th European Conference on Noise Control: Advanced Solutions for Noise Control, EURONOISE 2006 - Tampere, Finland
Duration: 2006 May 302006 Jun 1

Other

Other6th European Conference on Noise Control: Advanced Solutions for Noise Control, EURONOISE 2006
CountryFinland
CityTampere
Period06/5/3006/6/1

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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