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Issue title: Special Section: Applied Machine Learning and Management of Volatility, Uncertainty, Complexity & Ambiguity (V.U.C.A)
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Liangliang, Zhou*;
Affiliations: Yiwu Industrial and Commercial College, Zhejiang Yiwu, China
Correspondence: [*] Corresponding author. Zhou Liangliang, Yiwu Industrial and Commercial College, Zhejiang Yiwu, China. E-mail: adttgv@163.com.
Abstract: On the basis of FHWA model of the Federal Highway Administration and the combination with the geographic information system (GIS) and Fuzzy intelligent control system, the group independently researches and develops a simulation and evaluation system for the traffic noise in the urban road. This system is able to simulate the influence of traffic source, point source, and arbitrary shape area source on the urban sound field environment. It is combined with the noise radiation and the communication model, and the occlusion and attenuation by the buildings and forest belts on the traffic noise have been considered. It can calculate the traffic noise in urban areas and directly render the predicted results on the GIS map, and form a traffic noise map, which visually and clearly displays the pollution degree and distribution map of the traffic noise in urban areas. The noise maps of Guangzhou inner ring roads and Zhujiang New Town are drawn to provide scientific decision-making basis for the control of urban traffic noise pollution.
Keywords: GIS system, anti-noise, urban expansion, spatial-temporal dynamic simulation, fuzzy intelligent control system
DOI: 10.3233/JIFS-179941
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1679-1684, 2020
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