Article
Environmental Studies
Jia-Hong Tang, Bo-Cheng Lin, Jing-Shiang Hwang, Ling-Jyh Chen, Bing-Sheng Wu, Hong-Lian Jian, Yu-Ting Lee, Ta-Chien Chan
Summary: This study proposes a new methodology framework to dynamically update traffic noise maps in cities by combining statistical models, sound propagation technology, and various data sources, aiming to reduce noise pollution.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Green & Sustainable Science & Technology
Roberto Benocci, H. Eduardo Roman, Alessandro Bisceglie, Fabio Angelini, Giovanni Brambilla, Giovanni Zambon
Summary: A study on the statistical properties of sounds recorded in a forested area in Parco Nord, Milan, Italy revealed a low quality of sound activity, largely influenced by road traffic noise. The research aimed to understand the presence of biophonic sounds and the impact of anthropogenic disturbances on environmental quality.
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
Abhijit Debnath, Prasoon Kumar Singh, Sushmita Banerjee
Summary: This study explores the prediction of traffic noise levels using artificial neural networks (ANN) in the urban area of Dhanbad in India. The results show that the noise levels at all monitoring stations exceed the permissible limit, with the highest noise levels occurring at speeds of 50-55 km/h during both peak and non-peak hours. The developed ANN model has demonstrated high accuracy in predicting noise levels, with minimal deviation compared to observed values.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Studies
Sacha Baclet, Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Romain Rumpler, Amnir Hadachi
Summary: This study proposes a methodology for near-real-time dynamic noise mapping, which allows the generation of dynamic noise maps and calculation of various noise exposure indicators in large urban areas.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Engineering, Environmental
Pachaivannan Partheeban, Krishnamurthy Karthik, Partheeban Navin Elamparithi, Krishnan Somasundaram, Baskaran Anuradha
Summary: Noise pollution refers to sounds produced by humans, industries, transport and animals in the atmosphere that pose a threat to human and animal health. This study focuses on road traffic noise in Chennai and finds that 18% of the area and 6.3% of the population are affected by severe noise pollution.
ENVIRONMENTAL ENGINEERING RESEARCH
(2022)
Article
Environmental Sciences
Zia Ur Rahman Farooqi, Iftikhar Ahmad, Nukshab Zeeshan, Predrag Ilic, Muhammad Imran, Muhammad Farhan Saeed
Summary: The study evaluated urban noise levels and traffic density in Chiniot and Jhang, finding higher noise levels in Chiniot primarily due to high road traffic. Survey results indicated that noise exposure had negative health effects on residents, including annoyance, depression, and sleeplessness.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Husam Altamimi, Istvan Varga, Tamas Tettamanti
Summary: Platooning is a control method for driving a group of vehicles, which can also be applied to urban roads. Combining platooning with traffic signal control can improve traffic performance and reduce congestion.
Article
Environmental Studies
Zhengyin Piao, Urs Waldner, Kurt Heutschi, Lily D. Poulikakos, Stefanie Hellweg
Summary: This paper discusses the challenging topic of evaluating environmental impacts for low-noise roads in life cycle assessment (LCA). It proposes hybrid modifications of conventional LCA by incorporating acoustical pavement characterization data and models of noise emission, propagation, and exposure. The modified LCA also includes monetarization of direct and external costs to provide a monetary perspective. The results of a road test section indicate the significant role of road traffic noise in human health impacts and the economic benefits of using low-noise pavements.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Ricardo Moreno, Francesco Bianco, Stefano Carpita, Alessandro Monticelli, Luca Fredianelli, Gaetano Licitra
Summary: Noise from road infrastructure is a major environmental acoustics issue with documented implications for human health. Reliable testing methods are needed to evaluate the effectiveness of noise mitigation techniques like low noise pavement. The Controlled Pass-By (CPB) method, commonly used to measure vehicle-generated sound, has limitations in urban areas due to site conditions and reduced space, affecting repeatability. This study proposes an adjusted CPB method to overcome these limitations and considers vehicle speed for a more comprehensive noise assessment. A signal processing pipeline is developed to analyze data and identify potential spurious effects.
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
Computer Science, Information Systems
Peixiao Wang, Yan Zhang, Tao Hu, Tong Zhang
Summary: This study proposes a dynamic temporal graph neural network model that considers missing values and dynamic spatial relationships for urban traffic flow prediction. The model achieves good prediction results and outperforms existing baselines on a real traffic dataset.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2023)
Article
Environmental Studies
Ziqin Lan, Ming Cai
Summary: This study introduces a new method for dynamically updating traffic noise maps in large regions based on noise monitoring and traffic speed data. The method includes updating noise source intensity of the whole road network using a model of noise level and traffic speed, as well as generating new noise maps by combining acoustic attenuation terms with the updated noise source intensity, resulting in higher accuracy compared to other methods.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Acoustics
S. Exposito-Sobrino, V. F. Vazquez, A. Camara, S. E. Paje
Summary: This study evaluates the effectiveness of pavement renewal as a measure to reduce traffic noise in urban areas. The findings suggest that pavement surface renewal can effectively mitigate traffic noise and reduce noise exposure in cities. Specifically, the number of people exposed to noise levels above 55 dB(A) can be reduced by more than 80% through pavement renewal. Additionally, the analysis of the power spectral density of the vertical profile data reveals the association between surface characteristics and noise reduction.
Article
Green & Sustainable Science & Technology
Hsiao Mun Lee, Wensheng Luo, Jinlong Xie, Heow Pueh Lee
Summary: This study constructed an urban traffic noise map of the Panyu District in Guangzhou City using field measurement and numerical modeling methods. The results showed severe traffic noise pollution along traffic arteries and identified areas that complied with noise limits during different times of the day. The findings contribute to the development of novel construction and analysis methods for large-scale urban traffic noise mapping.
Article
Transportation
Mostafa Ameli, Jean Patrick Lebacque, Ludovic Leclercq
Summary: Analyzing the properties of network equilibrium helps to understand network state, robustness, and the impact of variations in the network. This study focused on the effects of network design history on day-to-day multimodal user equilibrium, discovering that the final equilibrium may not be unique when new transport options are introduced over time. Different public transportation occupancies were observed, but user equilibrium was maintained, revealing new insights for public transport planning.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Toon De Pessemier, Timothy Van Renterghem, Kris Vanhecke, Anissa All, Karlo Filipan, Kang Sun, Bert De Coensel, Lieven De Marez, Luc Martens, Dick Botteldooren, Wout Joseph
Summary: Sound pollution is a growing concern in modern society, especially in urban areas. This study examines how artificial sounds can enhance the experience of visitors in a noisy urban park, and the results demonstrate the effectiveness of this approach.
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
(2022)
Article
Psychology, Multidisciplinary
Jorg De Winne, Paul Devos, Marc Leman, Dick Botteldooren
Summary: This paper explores the optimization of multi-sensory information processing through supporting visual information with rhythmic auditory stimuli. The results of the experiment indicate that audio support does improve performance, but there is no difference between rhythmic and non-rhythmic sounds. Additionally, individual differences such as visual dominance and perceived task difficulty have an impact on performance.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Toon De Pessemier, Kris Vanhecke, Pieter Thomas, Tara Vander Mynsbrugge, Stefaan Vercoutere, Dominique Van de Velde, Patricia De Vriendt, Wout Joseph, Luc Martens, Dick Botteldooren, Paul Devos
Summary: This paper investigates the potential positive effects of playing carefully chosen and recognizable sounds on the behavioral and psychological symptoms of dementia. The personalized selection and playback of sounds aim to improve the sound environment and can be continuously adjusted based on the residents' responses. The testing of the soundscape system with dementia patients showed that the majority of residents perceived it as an improvement in the sound environment.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Meeting Abstract
Acoustics
Dick Botteldooren
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Chemistry, Analytical
Qiaoqiao Ren, Yuanbo Hou, Dick Botteldooren, Tony Belpaeme
Summary: Touch has a significant impact on human interactions, and this study explores its importance in human-robot interactions. The research predicts human risk-taking behavior during human-robot tactile interactions by using physiological data collected with sensors. The combination of support vector regression (SVR) and multi-input convolutional multihead attention (MCMA) enables low-latency risk-taking behavior prediction. The study reveals the interplay between physiological data and the intensity of tactile interaction in predicting human risk-taking behavior, highlighting the feasibility of using human physiological and behavioral data in predicting risk-taking behavior during human-robot tactile interactions.
Article
Transportation Science & Technology
Louis Balzer, Mostafa Ameli, Ludovic Leclercq, Jean-Patrick Lebacque
Summary: A Tradable Credit Scheme (TCS) is a demand management policy that aims to promote sustainable travel behavior by using credit trading between travelers and modifying their perceived costs. This study proposes a framework that considers traffic dynamics and traveler demand characteristics to minimize total travel cost and carbon emissions through an iterative optimization method. The results show that the proposed TCS effectively reduces carbon emissions and decreases user costs for the majority of travelers.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Maryia Hryhoryeva, Ludovic Leclercq
Summary: Competition in the ride-hailing market has significant effects on traffic congestion and service quality. This study focuses on how competition impacts the passenger-driver matching process, vehicle travel, and system performance. By employing a modeling and simulation framework, we find that cooperation scenario yields the best service performance.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Marine
Clea Parcerisas, Irene T. Roca, Dick Botteldooren, Paul Devos, Elisabeth Debusschere
Summary: To protect and monitor marine soundscapes, a new method for categorization and interpretation of shallow marine soundscapes is proposed. The method involves mapping spectrograms to a two-dimensional space, clustering similar sound environments, using a random forest classifier to predict the occurrence, and using explainable machine learning tools for ecological explanation. The methodology was tested in the Belgian part of the North Sea, resulting in identifiable soundscape categories explained by environmental parameters. Soundscape categorization can be used for policy making or conservation programs, and as indicators of biodiversity and ecosystem functionality change.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Review
Environmental Sciences
Angel M. Dzhambov, Peter Lercher, Natalia Vincens, Kerstin Persson Waye, Maria Klatte, Larisa Leist, Thomas Lachmann, Dirk Schreckenberg, Christin Belke, Gordana Ristovska, Katja M. Kanninen, Dick Botteldooren, Timothy Van Renterghem, Sonja Jeram, Jenny Selander, Arzu Arat, Kim White, Jordi Julvez, Charlotte Clark, Maria Foraster, Irene van Kamp
Summary: The EU-funded project Equal-Life conducted a scoping review and conceptual model to explore the potential mediators linking the exposome to mental health and cognition in children/adolescents. The scarcity of empirical evidence in this research area was found, with only a few cross-sectional studies indicating a tentative association between perceived restorative quality and mental health. Physical activity emerged as a mediator leading to better psychological outcomes in restorative environments.
ENVIRONMENTAL RESEARCH
(2023)
Article
Neurosciences
Ehsan Eqlimi, Annelies Bockstael, Marc Schonwiesner, Durk Talsma, Dick Botteldooren
Summary: This study explores how auditory distractions influence the process of information encoding during speech comprehension. The findings showed that when attention was directed towards speech, the complexity and unpredictability of microstate dynamics increased. Coping with background noise during speech comprehension demands sustained cognitive effort. Additionally, there were two stages of time course for microstate complexity and alpha-to-theta power ratio.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Transportation Science & Technology
Jiajie Yu, Pierre-Antoine Laharotte, Yu Han, Ludovic Leclercq
Summary: This paper presents a study on improving traffic flow and bus system service level by combining reinforcement learning and decentralized controllers with traffic signal control. The proposed method demonstrates excellent performance in various experiments conducted on simulated traffic environments, effectively reducing traffic congestion and bus delays.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Operations Research & Management Science
Gabriel Tilg, Lukas Ambuehl, Sergio F. A. Batista, Monica Menendez, Ludovic Leclercq, Fritz Busch
Summary: A semi-analytical methodology is proposed to estimate the macroscopic fundamental diagram (MFD) for realistic urban networks, which is more accurate than existing methods. This methodology can be applied to networks with irregular topologies and considers different spatial demand patterns.
TRANSPORTATION SCIENCE
(2023)
Correction
Acoustics
Catherine Lavandier, Mehdi Regragui, Romain Dedieu, Carine Royer, Arnaud Can
Article
Acoustics
Catherine Lavandier, Mehdi Regragui, Romain Dedieu, Carine Royer, Arnaud Can
Summary: This paper presents the influence of fluctuating road traffic noise on perceived disturbance during a reading task and performance in a living room with closed windows. The study found that the comprehension rate of texts decreases as the background noise level increases, the reading speed decreases during the rising front of a noise peak, and slow readers and noise sensitive individuals experience higher declared disturbance. The influence of acoustic indicators on reading disturbance is minimal compared to personal factors.
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.