Auralization of railway noise: Emission synthesis of rolling and impact noise

Pieren, Reto; Heutschi, Kurt; Wunderli, Jean Marc; Snellen, Mirjam; Simons, Dick G.

doi:10.1016/j.apacoust.2017.05.026

Cited by 25 publications

(16 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is possible to generate noise synthetically by means of emission synthesizers using physical and/or parametric approaches [1][2][3][4][5][6][7]. Adding recorded or synthesized (natural) background sounds to the noise samples helps to increase the degree of realism of the auralization.…”

Section: Introductionmentioning

confidence: 99%

Effects of Background Sounds on Annoyance Reaction to Foreground Sounds in Psychoacoustic Experiments in the Laboratory: Limits and Consequences

Taghipour

Pelizzari

2019

Applied Sciences

View full text Add to dashboard Cite

In a variety of applications, e.g., psychoacoustic experiments, virtual sound propagation demonstration, or synthesized noise production, noise samples are played back in laboratories. To simulate realistic scenes or to mask unwanted background sounds, it is sometimes preferable to add background ambient sounds to the noise. However, this can influence noise perception. It should be ensured that either background sounds do not affect, e.g., annoyance from foreground noise or that possible effects can be quantified. Two laboratory experiments are reported, in which effects of mixing background sounds to foreground helicopter samples were investigated. By means of partially balanced incomplete block designs, possible effects of three independent variables, i.e., helicopter’s sound exposure level, background type, and background sound pressure level were tested on the dependent variable annoyance, rated on the ICBEN 11-point numerical scale. The main predictor of annoyance was helicopter’s sound exposure level. Stimuli with eventful background sounds were found to be more annoying than those with less eventful background sounds. Furthermore, background type and level interacted significantly. For the major part of the background sound level range, increasing the background level was associated with increased or decreased annoyance for stimuli with eventful and less eventful background sounds, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Effects of Background Sounds on Annoyance Reaction to Foreground Sounds in Psychoacoustic Experiments in the Laboratory: Limits and Consequences

Taghipour

Pelizzari

2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…For the auralization, mainly tools that have been recently developed at Empa for other environmental noise sources are used [11][12][13][14] .…”

Section: Iiie Auralization Of Flyoversmentioning

confidence: 99%

Simulation process for perception-based noise optimization of conventional and novel aircraft concepts

Pieren¹,

Bertsch

Blinstrub

et al. 2018

2018 AIAA Aerospace Sciences Meeting

Self Cite

View full text Add to dashboard Cite

Noise from civil air traffic affects millions of people worldwide. Aircraft noise management should be addressed by different principal elements, such as noise reduction at the source and noise abatement operational procedures. To date, usually conventional noise metrics are applied towards the acoustical optimization while noise effects are usually only indirectly accounted for. The objective of this contribution is the optimization of conventional and novel aircraft concepts with respect to their evoked aircraft noise annoyance. The optimization will be based on the perceived sound and the associated annoyance. To do so, virtual aircraft flyovers are auralized based on noise level predictions, i.e. they are artificially made audible. The auralization is accomplished by parametric sound synthesis and a 3D spatial audio technique. Short-term noise annoyance is measured through controlled listening experiments in which participants rate the level of annoyance for each auralized flyover. The aircraft design and the flight path are evaluated according to the associated annoyance. The subsequent ranking can be compared to a "conventional" ranking based on standard noise metrics. The results of such a study will help to identify parameters describing aircraft and flight path parameters that have an impact on noise annoyance. Consequently, these parameters can then be selected for further optimization to reach even lower levels of noise annoyance and not simply reduce standard noise metrics. Ultimately, the main goal of the research is optimizing the noise annoyance of (novel) aircraft along tailored flight paths. This contribution documents the status quo of the joint DLR and Empa activities, i.e., the structure of a pilot study. First results that were obtained while developing the methodology and the test cases within the pilot study are presented.

show abstract

“…In order to prevent such effects, the scientific community has extensively studied the most impacting sources on land, which are the major transportation infrastructure and the industries. Road and railway traffic and airports have received a large amount of attention from the scientific community in all aspects, from their noise generation mechanisms [11][12][13] to their propagation; the mapping of their impact on land and the population [14,15]; and their mitigation with innovative solutions, such as low-noise pavements made of recycled materials [16,17], real time monitoring systems [18,19], and sustainable mitigation solutions [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Classification of Noise Sources for Port Area Noise Mapping

et al. 2021

View full text Add to dashboard Cite

Maritime transportation is recognized to have advantages in terms of environmental impact compared to other forms of transportation. However, an increment in traffic volumes will also produce an increase in noise emissions in the surroundings for a greener source, as ports are frequently surrounded by urban areas. When more sources or higher noise emissions are introduced, the noise exposure of citizens increases, and the likelihood of official complaints rises. As a consequence, among the most demanding aspects of port management is effective noise management aimed at a reduction in the exposure of citizens while ensuring the growth of maritime traffic. At the same time, the topic has not been thoroughly studied by the scientific community, mostly because port areas are challenging from a noise management point of view; they are often characterized by a high degree of complexity, both in terms of the number of different noise sources and their interaction with the other main transportation infrastructure. Therefore, an effective methodology of noise modeling of the port area is currently missing. With regard to the INTERREG Maritime Program, the present paper reports a first attempt to define noise mapping guidelines. On the basis of the current state-of-the-art and the authors’ experiences, noise sources inside port areas can be divided into several different categories: road sources, railway sources, ship sources, port sources, and industrial sources. A further subdivision can be achieved according to the working operation mode and position of the sources. This classification simplifies actions of identification of the responsible source from control bodies, in the case that noise limits are exceeded or citizen complaints arise. It also represents a necessary tool to identify the best placing of medium/long-term noise monitoring stations. The results also act as a base for a future definition of specific and targeted procedures for the acoustic characterization of port noise sources.

show abstract

Auralization of railway noise: Emission synthesis of rolling and impact noise

Cited by 25 publications

References 26 publications

Effects of Background Sounds on Annoyance Reaction to Foreground Sounds in Psychoacoustic Experiments in the Laboratory: Limits and Consequences

Effects of Background Sounds on Annoyance Reaction to Foreground Sounds in Psychoacoustic Experiments in the Laboratory: Limits and Consequences

Simulation process for perception-based noise optimization of conventional and novel aircraft concepts

Classification of Noise Sources for Port Area Noise Mapping

Contact Info

Product

Resources

About