Article
Acoustics
Jorgen Kragh, Erik Thysell, Per Finne, Frank Pedersen, Lene Michelsen, Jakob Fryd
Summary: In 2006, the Nord2000 method for predicting traffic noise exposure was published and later adopted as the official method by the Danish Environmental Protection Agency in 2007. The method has been revised and the calculation software has been thoroughly debugged. Researchers have used the Nord2000 method to investigate the health and annoyance effects of traffic noise. In 2019, a series of long-term field measurements were conducted to validate the predicted noise levels and build public confidence.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Acoustics
Arti Roshan Soni, Ketan Makde, Kumar Amrit, Ritesh Vijay, Rakesh Kumar
Summary: This study aims to predict the impact of increasing vehicles on noise in mega cities like Mumbai and proposes a new method to estimate the environmental noise capacity of the city. The findings show variations in traffic flow patterns across different roads, with one location having the highest vehicle movement and noise level. The results of this study can be useful for policymakers in planning strategies to mitigate the effects of urban noise.
Article
Environmental Sciences
Jibran Khan, Matthias Ketzel, Steen Solvang Jensen, John Gulliver, Erik Thysell, Ole Hertel
Summary: Road traffic noise is the most pervasive source of ambient outdoor noise pollution in Europe. This paper compares three traffic noise prediction models in terms of their source and propagation characteristics, finding that CNOSSOS and TRANEX performed similarly in simulating Nord2000 L-Aeq values, but there are some algorithmic shortcomings in CNOSSOS that need to be addressed.
ENVIRONMENTAL POLLUTION
(2021)
Article
Acoustics
Jeffrey Peng, Jeffrey Parnell, Nicole Kessissoglou
Summary: This study introduces two supplementary noise indicators for road traffic noise, which differentiate between daytime and nighttime noise exposure impacts as well as heavy vehicle and commuter traffic noise. By analyzing these indicators, spatial variability of light and heavy vehicle traffic composition across urban and rural parts of a state road network in Australia is presented.
Article
Computer Science, Information Systems
Yanjie Sun, Mingguang Wu, Xiaoyan Liu, Liangchen Zhou
Summary: This paper proposes a road surveillance video-based method for high-precision dynamic traffic noise mapping, which can describe the spatial and temporal distributions of noise. By identifying traffic and environmental elements from videos and converting them to geographic coordinates, a dynamic noise mapping model at the lane level is formalized. The actual case analysis shows that the method has a low average error.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Sasha Khomenko, Marta Cirach, Jose Barrera-Gomez, Evelise Pereira-Barboza, Tamara Iungman, Natalie Mueller, Maria Foraster, Cathryn Tonne, Meelan Thondoo, Calvin Jephcote, John Gulliver, James Woodcock, Mark Nieuwenhuijsen
Summary: This study aims to assess available data on road traffic noise in European cities and estimate the population's exposure and health impacts. The results show that many adults in European cities are exposed to road traffic noise levels that are harmful to health, with an increase in both high noise annoyance and Ischemic Heart Disease (IHD) mortality. Efforts to standardize noise maps and increase data availability are necessary for a more accurate assessment of health impacts and to address the adverse effects of road traffic noise at the local government level.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Environmental Studies
Antonio Pascale, Claudio Guarnaccia, Eloisa Macedo, Paulo Fernandes, Ana I. Miranda, Susana Sargento, Margarida C. Coelho
Summary: This paper proposes a novel Road Traffic Noise Model (RTNM) that can dynamically assess road traffic noise levels, support or replace noise sensor networks, and address noise pollution concerns.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Review
Environmental Sciences
Gabriela Meller, Willian Magalhaes de Lourenco, Viviane Suzey Gomes de Melo, Giane de Campos Grigoletti
Summary: As cities grow and the number of motor vehicles increases, urban noise levels caused by vehicle traffic have significantly risen. To assess and control noise levels in urban areas, noise maps are useful tools that provide cartographic representations of noise distribution over time. This article conducts a systematic literature review to identify and evaluate different road noise prediction models used in sound mapping computer programs in countries without a standard model. The review finds that the most commonly used prediction models are RLS-90 and NMPB, and the most commonly used mapping programs are SoundPLAN and ArcGIS with a grid size of 10 x 10 m. Measurements are typically taken at a height of 1.5 m above ground level for a duration of 15 minutes. The research on noise maps in countries without a local model has been increasing over time.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Acoustics
Haibo Wang, Bin Sun, Liang Chen
Summary: This study proposes an optimization model for planning a road network that takes into account the impact of traffic noise. The results show the optimal road structures for different traffic flow states, providing a reference for noise control.
Article
Chemistry, Analytical
Jongtae Lim, Songhee Park, Dojin Choi, Kyoungsoo Bok, Jaesoo Yoo
Summary: This paper proposes a machine-learning-based road speed prediction scheme that utilizes road environment data analysis. It accurately predicts both average road speed and rapidly changing road speeds by analyzing speed data from the target road and neighboring roads. It considers historical average speed data and events as weights for prediction and uses the LSTM algorithm for sequential data learning.
Article
Environmental Sciences
Erin Flanagan, Ebba Malmqvist, Anna Oudin, Karin Sunde Persson, Johanna Alkan Ohlsson, Kristoffer Mattisson
Summary: Urbanization brings opportunities but also the need for expansion of housing and infrastructure. Densification can result in increased noise, especially from road traffic. The aim of this study is to estimate and compare the health impacts of road traffic noise exposure in different urban densification scenarios. Rating: 7 points
ENVIRONMENT INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Gang Liu, Xiangfei Zhang, Zhendong Qian, Leilei Chen, Yanmei Bi
Summary: This study examines the impact of road maintenance on traffic operations and the environment from the perspective of life cycle assessment (LCA). It establishes quantitative models to evaluate maintenance management and traffic operations during the maintenance phase of road network infrastructure. The research shows that there is a significant scale economy effect in maintenance costs and provides a calculation basis for optimizing maintenance strategies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Farinoush Sharifi, Andrew G. Birt, Chaoyi Gu, Jeff Shelton, Reza Farzaneh, Joe Zietsman, Andrew Fraser, Mikhail Chester
Summary: Transparent methods for estimating CO2 emissions are crucial for evaluating mitigation strategies. This study proposes a framework to assess the regional impact of roadway designs on CO2 emissions. Improving roadway infrastructure can effectively reduce CO2 emissions and be cost-effective.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Chemistry, Multidisciplinary
Aurel Mihail Titu, Andrei Alexandru Boroiu, Sorin Mihailescu, Alina Bianca Pop, Alexandru Boroiu
Summary: This paper focuses on the issue of urban road noise in the context of European legislative requirements. The authors conducted complex research to understand how road traffic regulation at intersections affects noise pollution levels in residential areas. The results show that roundabouts can reduce noise pollution compared to traffic light intersections, but only if the speed of vehicles in the roundabout is predictable.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Satish K. K. Lokhande, Vinit B. B. Kale, Mohindra C. C. Jain
Summary: The continuous increase in vehicles and extensive road networks have resulted in traffic problems and noise pollution. Road tunnels are considered a viable and effective solution for addressing these issues. Apart from alleviating traffic noise, road tunnels also offer significant benefits to urban mass transit systems. However, road tunnels that do not comply with design and safety standards have a negative impact on commuters' health, especially those exceeding 500 meters in length. This study aims to evaluate the applicability of the ASJ RTN-Model 2013 by comparing predicted and measured data at the tunnel portal. It also examines the acoustic characteristics of noise inside the tunnel, analyzing octave frequencies to determine the correlation of noise spectrum with noise-induced hearing loss (NIHL), and discusses the potential health effects on pedestrians and vehicle riders passing through the tunnel.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Acoustics
Cailiang Zhang, Zhihui Lai, Zhisheng Tu, Hanqiu Liu, Yong Chen, Ronghua Zhu
Summary: This paper proposes two single-parameter-adjusting SR models to optimize the output performance of SR systems. The effects of the proposed models on SR output under different parameters and signals are investigated through numerical simulations, and their feasibility is verified through experimental results. The research results are of great significance for guiding the design of tri-stable SR models and the application of SR-based signal processing in the context of big data.
Article
Acoustics
Shaoqiong Yang, Hao Chang, Yanhui Wang, Ming Yang, Tongshuai Sun
Summary: In this study, a suspension system based on phononic crystals is designed for vibration isolation of acoustic loads in underwater gliders. The vibration properties of the phononic crystals and the effects of physical parameters on the underwater attenuation zones are investigated. Vibration tests show that the phononic crystal suspension system has a stable vibration isolation effect in the frequency range of 120-5000 Hz.
Article
Acoustics
Xuebin Zhang, Jun Zhang, Tao Liu, Ning Hu
Summary: This study proposes a tunable metamaterial beam to isolate flexural waves. A genetic algorithm-based size optimization is used to obtain a broad low-frequency bandgap. The tunability of the beam is achieved by attaching different numbers of permanent magnets to change the mass of the resonators. Additionally, ultra-broadband flexural wave attenuation is achieved by forming a gradient metamaterial beam based on the rainbow effect. Numerical and experimental results confirm the good flexural wave attenuation ability of the proposed beam.
Article
Acoustics
Luca Rapino, Francesco Ripamonti, Samanta Dallasta, Simone Baro, Roberto Corradi
Summary: This paper presents a method for simulating tyre/road noise using equivalent monopoles, including the synthesis of monopoles through an inverse problem approach and the use of an ISO 10844 road replica for laboratory testing. The method combines acoustic finite element models and numerical simulations of vehicles, and the results are validated by comparing them with measured data.
Article
Acoustics
Xiaoyan Zhu, Tin Oberman, Francesco Aletta
Summary: This paper explores the definition of acoustical heritage and proposes a multidimensional definition based on interviews with experts and detailed analysis of the data.
Article
Acoustics
Faeez Masurkar, Saurabh Aggarwal, Zi Wen Tham, Lei Zhang, Feng Yang, Fangsen Cui
Summary: This research focuses on estimating the elastic constants of orthotropic laminates using ultrasonic guided waves and inverse machine learning models. The results show that this approach has the potential to accurately predict the elastic constants of a material and reduce computational time.
Article
Acoustics
Feng Xiao, Haiquan Liu, Jia Lu
Summary: Diagnostic methods for cardiovascular disease based on heart sound classification have been widely studied due to their noninvasiveness, low-cost, and high efficiency. However, existing research often faces challenges such as the nonstationarity and complexity of heart sound signals, leading to limited capability of neural networks to extract discriminative features. To address these issues, this study proposes a novel convolutional neural network that combines 1D convolution and 2D convolution, and introduces an attention mechanism to enhance feature extraction capability. The study also explores the advantages and disadvantages of combining deep learning features with manual features, and adopts an evolving fuzzy system for decision-making interpretability.
Article
Acoustics
Hong Xu, Zhengyao He, Qiang Shi, Yushi Wang, Bo Zhang
Summary: This paper presents the development of a directional segmented ring transmitting transducer that can radiate sound waves in any horizontal region. The study focuses on the structure of the segmented ring transducer, its radiation sound field characteristics, and the beam pattern control method based on modal synthesis. The authors propose orthogonal beam pattern functions for adjusting steering angles and establish a three-dimensional finite element model to simulate the transmitting beam patterns. Experimental measurements and tests validate the effectiveness of the proposed transducer, showcasing its ability to steer the beam patterns to different directions.
Article
Acoustics
Jirui Yang, Shefeng Yan, Di Zeng, Gang Tan
Summary: This paper proposes an improved domain adaptation framework, self-supervised learning minimax entropy, to enhance the recognition performance of underwater target recognition models. The experimental results demonstrate that applying domain adaptation methods can effectively improve the recognition accuracy of the models under various marine conditions.
Article
Acoustics
Zonghan Sun, Jie Tian, Yuhang Zheng, Xiaocheng Zhu, Zhaohui Du, Hua Ouyang
Summary: This paper analyzes the noise reduction method of installing a sinusoidal-shaped inlet duct on a cooling fan through theoretical and experimental analysis of the acoustic mode modulation. The study establishes the correlation between the free field noise and acoustic mode of the fan rotor and the unsteady forces on the rotor blade surface. The results show that the sinusoidal-shaped inlet duct achieves greater noise reduction compared to a straight duct, especially at the blade passing frequency and its first harmonic.
Article
Acoustics
Min Li, Rumei Han, Hui Xie, Ruining Zhang, Haochen Guo, Yuan Zhang, Jian Kang
Summary: This study is part of a global collaboration to translate and standardise soundscape research. A reliable questionnaire for soundscape characterisation in Mandarin Chinese was developed and validated. The study found that salient sound sources become the focus of attention for individuals in urban open spaces, and the perception is also influenced by the acoustic characteristics of the soundscape. Certain types of sound sources play a more important role in soundscape perception.
Article
Acoustics
Arezoo Talebzadeh, Dick Botteldooren, Timothy Van Renterghem, Pieter Thomas, Dominique Van de Velde, Patricia De Vriendt, Tara Vander Mynsbrugge, Yuanbo Hou, Paul Devos
Summary: This study proposes a sound selection methodology to enhance the soundscape in nursing homes and reduce BPSD by analyzing sound characteristics and recognition methods. The results highlight the sound characteristics that lead to positive responses, while also pointing out the need for further studies to understand which sounds are most suitable for people with dementia.
Article
Acoustics
Yang Yang, Yongxin Yang, Zhigang Chu
Summary: This paper introduces a grid-free compressive beamforming method compatible with arbitrary linear microphone arrays, and demonstrates the correctness and superiority of the proposed method through examples. Monte Carlo simulations are performed to reveal the effects of source coherence, source separation, noise, and number of snapshots.
Article
Acoustics
Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Summary: Computer-Aided Language Learning (CALL) is growing rapidly due to the importance of acquiring proficiency in multiple languages for effective communication. In the field of CALL, the detection of mispronunciations is vital for non-native speakers. This research introduces a novel framework using audio-centric transformer models to detect mispronunciations in Arabic phonemes. The results demonstrate that the UNI-SPEECH transformer model yields notable classification outcomes in Arabic phoneme mispronunciation detection. The comprehensive comparison of these transformer models provides valuable insights and guidance for future investigations in this domain.
Article
Acoustics
Yi-Yang Ni, Fei-Yun Wu, Hui-Zhong Yang, Kunde Yang
Summary: This paper proposes an improved method for compressive sensing by introducing a self training dictionary scheme and a CS reconstruction method based on A*OLS, which enhances the sparse representation performance of propeller signals.
