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The Journal of the Acoustical Society of America
The National Transportation Noise Map predicts time-averaged road traffic noise across the continental United States (CONUS) based on annual average daily traffic counts. However, traffic noise can vary greatly with time. This paper outlines a method for predicting nationwide hourly varying source traffic sound emissions called the Vehicular Reduced ...
Mylan R. Cook +3 more
openaire +2 more sources
The National Transportation Noise Map predicts time-averaged road traffic noise across the continental United States (CONUS) based on annual average daily traffic counts. However, traffic noise can vary greatly with time. This paper outlines a method for predicting nationwide hourly varying source traffic sound emissions called the Vehicular Reduced ...
Mylan R. Cook +3 more
openaire +2 more sources
Crowdsourcing Application in the Development of a Dynamic Noise Map
Lecture Notes in Networks and Systems, 2022Poslončec-Petrić Vesna +2 more
exaly
Novel Methodologies for the Development of Large-Scale Airport Noise Map
Sustainability, 2022Jinlong Xie, Hsiao Mun Lee, Lei Zhu
exaly
Dynamic Generation of Noise Maps: Accurate and Efficient Assessment of Noise Exposure
2023openaire +1 more source
Exposure Map Fusion for Precise 3-D Reconstruction of High Dynamic Range Surfaces
IEEE Transactions on Instrumentation and Measurement, 2022Juntong Xi, Xiaobo Chen, Xinyi Le
exaly
Selective image encryption method based on dynamic DNA coding and new chaotic map
Optik, 2021Xiaojun Tong
exaly
NoiseSphere: An AI-Based Approach for Dynamic and Large-Scale Noise Mapping
SAE Technical Paper Series<div class="section abstract"><div class="htmlview paragraph">Noise pollution is a major environmental and health challenge, yet its strong spatial and temporal variability makes comprehensive mapping highly complex. Current approaches under the European Noise Directive (END) provide only partial coverage and often lack temporal dynamics ...
openaire +1 more source
Predicting highly dynamic traffic noise using rotating mobile monitoring and machine learning method
Environmental Research, 2023Ying Long
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