A prediction method for road traffic noise generated from arbitrary non-poisson type traffic flow based on an approach equivalent to that for a standard poisson type traffic flow |
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| Affiliation: | 1. School of Automotive Engineering, GuangDong Polytechnic Normal University, Guangzhou, China;2. Department of Information Systems, City University of Hong Kong, Hong Kong, China;3. School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China; and Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou, China;1. Department of Civil Engineering, Qatar University, Doha 2713, Qatar;2. Department of Engineering, Utah Valley University, Orem, UT, 84058, United States;1. School of Automotive Engineering, GuangDong Polytechnic Normal University, Guangzhou 510665, China;2. Research Center of Intelligent Transport Systems, School of Engineering, Sun Yat-sen University, Guangzhou 510006, China;3. Key Laboratory of Intelligent Transportation System of Guangdong Province, Guangzhou 510006, China |
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| Abstract: | In order to establish a prediction method for road traffic noise generated from actual traffic flow of an arbitrary non-Poisson type, a new approach equivalent to that for an idealized Poisson type traffic flow is proposed for practical use. This prediction method is able to treat any kind of road traffic noise fluctuation generated from actual non-Poisson type traffic flow, once information has been obtained on the wave form of the level time pattern observed when one vehicle passes directly in front of an observation point. The validity of the proposed prediction method has been experimentally confirmed by applying it to actually observed road traffic noise data. |
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