Urban traffic noise assessment by combining measurement and model results

2013 ◽  
Author(s):  
Frits Van Der Eerden ◽  
Freek Graafland ◽  
Peter Wessels ◽  
Tom Basten
Keyword(s):  
Traffic Noise ◽  
Urban Traffic ◽  
Noise Assessment ◽  
Urban Traffic Noise

Urban traffic noise assessment by combining measurement and model results

2013 ◽  
Vol 133 (5) ◽  
pp. 3592-3592
Author(s):  
Frits Van der Eerden ◽  
Freek Graafland ◽  
Peter Wessels ◽  
Tom Basten
Keyword(s):  
Traffic Noise ◽  
Urban Traffic ◽  
Noise Assessment ◽  
Urban Traffic Noise

scholarly journals Combining VR Visualization and Sonification for Immersive Exploration of Urban Noise Standards

2019 ◽  
Vol 3 (2) ◽  
pp. 34 ◽  
Author(s):  
Markus Berger ◽  
Ralf Bill
Keyword(s):  
Real Time ◽  
Sound Propagation ◽  
Road Traffic ◽  
Expert Knowledge ◽  
Low Cost ◽  
Traffic Noise ◽  
Urban Traffic ◽  
Road Traffic Noise ◽  
Common Noise ◽  
Noise Assessment

Urban traffic noise situations are usually visualized as conventional 2D maps or 3D scenes. These representations are indispensable tools to inform decision makers and citizens about issues of health, safety, and quality of life but require expert knowledge in order to be properly understood and put into context. The subjectivity of how we perceive noise as well as the inaccuracies in common noise calculation standards are rarely represented. We present a virtual reality application that seeks to offer an audiovisual glimpse into the background workings of one of these standards, by employing a multisensory, immersive analytics approach that allows users to interactively explore and listen to an approximate rendering of the data in the same environment that the noise simulation occurs in. In order for this approach to be useful, it should manage complicated noise level calculations in a real time environment and run on commodity low-cost VR hardware. In a prototypical implementation, we utilized simple VR interactions common to current mobile VR headsets and combined them with techniques from data visualization and sonification to allow users to explore road traffic noise in an immersive real-time urban environment. The noise levels were calculated over CityGML LoD2 building geometries, in accordance with Common Noise Assessment Methods in Europe (CNOSSOS-EU) sound propagation methods.

Changes In Cortical Responsivity To Multisensorial Stimuli During Exposure To Urban Traffic Noise

1976 ◽  
Vol 81 (sup339) ◽  
pp. 24-26 ◽  
Author(s):  
B. Bergamasco ◽  
M. Gilli ◽  
G. Rossi
Keyword(s):  
Traffic Noise ◽  
Urban Traffic ◽  
Urban Traffic Noise

Modeling urban traffic noise with stochastic and deterministic traffic models

2013 ◽  
Vol 74 (4) ◽  
pp. 614-621 ◽  
Author(s):  
Alberto Ramírez ◽  
Efraín Domínguez
Keyword(s):  
Traffic Noise ◽  
Urban Traffic ◽  
Traffic Models ◽  
Urban Traffic Noise

Urban Traffic Noise in Riyadh, Saudi Arabia: Perceptions and Attitudes

1993 ◽  
Vol 119 (5) ◽  
pp. 751-762 ◽  
Author(s):  
Parviz A. Koushki ◽  
Louis F. Cohn ◽  
Abdurrahman A. Felimban
Keyword(s):  
Saudi Arabia ◽  
Traffic Noise ◽  
Urban Traffic ◽  
Perceptions And Attitudes ◽  
Urban Traffic Noise

Temporary Threshold Shift (TTS) Due To Exposure To Urban Traffic Noise

1976 ◽  
Vol 81 (sup339) ◽  
pp. 10-13 ◽  
Author(s):  
G. Rossi ◽  
M. Scevola ◽  
C. Magliano
Keyword(s):  
Traffic Noise ◽  
Urban Traffic ◽  
Threshold Shift ◽  
Temporary Threshold Shift ◽  
Urban Traffic Noise

Fuzzy logic for urban traffic noise prediction

1995 ◽  
Vol 98 (5) ◽  
pp. 2607-2612 ◽  
Author(s):  
G. Cammarata ◽  
A. Fichera ◽  
S. Graziani ◽  
L. Marletta
Keyword(s):  
Fuzzy Logic ◽  
Traffic Noise ◽  
Urban Traffic ◽  
Noise Prediction ◽  
Urban Traffic Noise

Modelling of urban traffic noise using a systems approach

2018 ◽  
Vol 171 (4) ◽  
pp. 235-244 ◽  
Author(s):  
Daljeet Singh ◽  
Shri Prakash Nigam ◽  
Vishnu Prakash Agrawal ◽  
Maneek Kumar
Keyword(s):  
Systems Approach ◽  
Traffic Noise ◽  
Urban Traffic ◽  
Urban Traffic Noise

scholarly journals Prenatal urban traffic noise exposure impairs spatial learning and memory and reduces glucocorticoid receptor expression in the hippocampus of male rat offspring

2020 ◽  
Vol 107 (2) ◽  
pp. 209-219
Author(s):  
F.S. Sajjadi ◽  
F. Aghighi ◽  
Z. Vahidinia ◽  
A. Azami-Tameh ◽  
M. Salami ◽  
...  
Keyword(s):  
Learning And Memory ◽  
Spatial Learning ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Urban Traffic ◽  
Spatial Learning And Memory ◽  
Relative Expression ◽  
Noise Stress ◽  
Rat Offspring ◽  
Urban Traffic Noise

AbstractIntroductionExposure to noise stress during early life may permanently affect the structure and function of the central nervous system. The aim of this study was to evaluate the effects of prenatal exposure to urban traffic noise on the spatial learning and memory of the rats' offspring and the expression of glucocorticoid receptors (GRs) in their hippocampi.MethodsThree g\roups of pregnant rats were exposed to recorded urban traffic noise for 1, 2 or 4 h/day during the last week of pregnancy. At the age of 45 days, their male offspring were introduced to the Morris water maze (MWM) for assessment of spatial learning and memory. The corticosterone levels were measured in the offspring's sera by radioimmunoassay, and the relative expression of glucocorticoid and mineralocorticoid receptors (MRs) in their hippocampi was evaluated via RT-PCR.ResultsFacing urban traffic noise for 2 and 4 h/day during the third trimester of pregnancy caused the offspring to spend more time and to travel a larger distance than the controls to find the target platform. Analogously, these two groups were inferior to their control counterparts in the probe test. Also, prenatal noise stress elevated the corticosterone concentration in the sera of the rats' offspring and dose-dependently decreased the relative expression of the mRNA of both GRs and MRs in their hippocampi.ConclusionsUrban traffic noise exposure during the last trimester of pregnancy impairs spatial learning and memory of rat offspring and reduces GRs and MRs gene expression in the hippocampus.

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