title: A modified 3D algorithm for road traffic noise attenuation calculations in large urban areas.
abstract: The primary objective of this study is the development and application of a 3D road traffic noise attenuation calculation algorithm. First, the traditional empirical method does not address problems caused by non-direct occlusion by buildings and the different building heights. In contrast, this study considers the volume ratio of the buildings and the area ratio of the projection of buildings adjacent to the road. The influence of the ground affection is analyzed. The insertion loss due to barriers (infinite length and finite barriers) is also synthesized in the algorithm. Second, the impact of different road segmentation is analyzed. Through the case of Pearl River New Town, it is recommended that 5° is the most appropriate scanning angle as the computational time is acceptable and the average error is approximately 3.1 dB. In addition, the algorithm requires only 1/17 of the time that the beam tracking method requires at the cost of more imprecise calculation results. Finally, the noise calculation for a large urban area with a high density of buildings shows the feasibility of the 3D noise attenuation calculation algorithm. The algorithm is expected to be applied in projects requiring large area noise simulations.
authors.affiliation: School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou, China.
authors.forename: Haibo
authors.initials: H
authors.lastname: Wang
authors.affiliation: School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou, China. Electronic address: caiming@mail.sysu.edu.cn.
authors.forename: Ming
authors.initials: M
authors.lastname: Cai
authors.affiliation: School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou, China.
authors.forename: Yifan
authors.initials: Y
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D004777:Environment; D009624:Noise, Transportation
keywords: 3D noise attenuation simulation; Area ratio of buildings' projection; Buildings volume ratio; Large urban area; Scanning angle; Traffic noise