Acoustic Modeling of Meteorological Effects on Roadway Noise

Author(s):  
Roger L. Wayson ◽  
Kenneth Kaliski

Modeling road traffic noise levels without including the effects of meteorology may lead to substantial errors. In the United States, the required model is the Traffic Noise Model which does not include meteorology effects caused by refraction. In response, the Transportation Research Board sponsored NCHRP 25-52, Meteorological Effects on Roadway Noise, to collect highway noise data under different meteorological conditions, document the meteorological effects on roadway noise propagation under different atmospheric conditions, develop best practices, and provide guidance on how to: (a) quantify meteorological effects on roadway noise propagation; and (b) explain those effects to the public. The completed project at 16 barrier and no-barrier measurement positions adjacent to Interstate 17 (I-17) in Phoenix, Arizona provided the database which has enabled substantial developments in modeling. This report provides more recent information on the model development that can be directly applied by the noise analyst to include meteorological effects from simple look-up tables to more precise use of statistical equations.

Author(s):  
Roger L. Wayson ◽  
Kenneth Kaliski ◽  
John M. MacDonald ◽  
Erik M. Salomons ◽  
Darlene D. Reiter

The estimation of absolute road traffic noise levels without including the effects of meteorology is thought to be a major source of error in the estimation process commonly used in the United States. In response, the Transportation Research Board-sponsored NCHRP 25-52, Meteorological Effects on Roadway Noise, to collect highway noise data under different meteorological conditions, document the meteorological effects on roadway noise propagation under different atmospheric conditions, develop best practices, and provide guidance on how to (a) quantify meteorological effects on roadway noise propagation and (b) explain those effects to the public. The completed project involved collecting and analyzing 35,000 min of sound and meteorological data at 16 barrier and no-barrier measurement positions adjacent to Interstate 17 in Phoenix, Arizona. This report provides information on the data collection and the modeling recommendations. The database assembled is thought to be among the best available in the United States to permit analysis of meteorological effects on roadway noise. The study recommendations will advance the methodology for estimating the meteorological effects on roadway noise in the United States.


Author(s):  
Kinga Szopinska

Road traffic noise, as a form of environmental pollution, is an important element causing discomfort among inhabitants and leading to the emergence of noise nuisance influencing the shaping of urban space. The basic tool in combating noise is a Strategic Noise Map (SNM), which, understood as a system, constitutes an element of a city’s information layer. The system, illustrating the noise situation within a city, is prepared by means of a calculationmeasurement method using specialized computer programs. The assessment of road traffic noise begins by defining the amount of noise emissions coming from acoustically-homogenous sections (emission map), and ends with determining the extent of noise propagation in urban space (immission map). The above process is based on the analysis of actual input data describing, in a detailed manner, the analyzed road infrastructure in terms of the characteristics of the road section, information on the volume and type of traffic, and data on the organization of traffic. Under such extensive analysis of the condition of the environment, it is appropriate to apply GIS data as a methodological basis for creating SNMs. GIS data make it possible to unify the rules for collecting and archiving values characterizing the condition of the environment, as well as parameters influencing the level of noise. The aim of work is create a theoretical road traffic noise model with the help of GIS. The scope of information in attribute tables of acoustically-homogenous road sections comprising a GIS thematic layer was described in detail. The above information are the basis for generating digital road traffic noise emission maps as well as being the starting point for assessing road traffic noise in the area of a city in the form of immission maps. The article additionally analyzes the results of data derived from the first phase of noise mapping in Europe, as well as familiarizing the reader with the procedure of modelling road traffic noise emission in accordance with the CNOSSOS-EU which will become binding as of 31 December 2018 throughout the European Union, and which was introduced by the provisions of the new noise directive – Directive 2015/996 of 19 May 2015.


2021 ◽  
Vol 13 (10) ◽  
pp. 5407
Author(s):  
Saša Ahac ◽  
Maja Ahac ◽  
Josipa Domitrović ◽  
Vesna Dragčević

Challenges that emerge in roundabout design are mostly related to space constrictions and provision of appropriate deflection around the central island. This can result in speed profiles on roundabouts that might reduce their potential as a noise abatement measure. Because of this, the impact of a roundabout on noise levels and its applicability as a traffic calming device and a noise abatement measure should be investigated in the early design stage, by modeling noise levels. In this paper, the following hypothesis is tested: vehicle movement trajectories, defined during the fastest path performance check in roundabout early design phase, can be used as the road traffic noise sources when modeling noise at roundabouts using static noise model. This procedure (1) simplifies the preparation of the noise model, (2) results in a model that is closer to the real-world in terms of traffic flow conditions, (3) allows the noise calculations in the early stages of roundabout design, and (4) includes the influence of roundabout deflection on calculated noise levels. The abovementioned simplifications of the road traffic noise modeling process should encourage the optimization of roundabout geometry in terms of its noise reduction capabilities in the preliminary design phase of these intersections.


2015 ◽  
Vol 74 ◽  
pp. 183-193 ◽  
Author(s):  
John Gulliver ◽  
David Morley ◽  
Danielle Vienneau ◽  
Federico Fabbri ◽  
Margaret Bell ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
pp. 133
Author(s):  
Heru Sanjaya ◽  
Pertiwi Supriyani ◽  
Angga Marditama Sultan Sufanir

ABSTRAKPeningkatan volume kendaraanberdampak terhadappeningkatan kebisingan lalu lintas yang menimbulkangangguan pendengaran bagi pengguna jalan dan masyarakat disekitarnya.Tujuan penelitian ini yaitumenghitung kebisingan pada kawasan rumah sakit dan sekolah akibat arus lalu lintas di Jalan L.L. R.E. Martadinata Kota Bandung dengan menggunakan Metode Bina Marga Pd.T-10-2004-B tentang Prediksi Kebisingan Akibat Lalu Lintas dengan ModelCalculation of Road Traffic Noise (CoRTN).Dari hasil perhitungan diperoleh tingkat kebisingan di kawasan RSIA Limijati sebesar 62,46 dBA (weekdays) dan 62,01 dBA (weekend), sedangkan tingkat kebisingan dikawasan Sekolah Taruna Bakti sebesar 66,06 dBA (weekdays) dan 66,21 dBA (weekend). Dapat disimpulkan bahwa tingkat kebisingan di kawasan RSIA Limijati dan Sekolah Taruna Bakti sudah melebihi baku mutu yang diijinkan menurut Keputusan Menteri Negara Lingkungan Hidup No. 48/MENLH/11/1996 yaitu sebesar 55 dBA, sehingga untuk menurunkan tingkat kebisingan perlu dilakukan mitigasi dampak kebisingan akibat lalu lintas jalan.Kata kunci: kebisingan pada kawasan rumah sakit, kebisingan pada kawasan sekolah, ModelCalculation of Road Traffic Noise ABSTRACTThe increase ofvehicle volume is impacted to the increase of traffic noise which is The increase ofvehicle volume is impacted to the increase of traffic noise which is caused sense of hearing interruptionto the road user, pedestrian, and the society in that area. This research’s purpose is to calculate the traffic noise in hospital and school area which is caused by the traffic in Jalan L.L. R.E. Martadinata, Kota Bandung. The method used is Bina Marga Pd.T-10-2004-B about The Prediction of Noise caused by Traffic using Calculation of Road Traffic Noise (CoRTN) Model. Based on the calculation, the number of traffic noise in RSIA Limijati area for about 62,46 dBA (weekdays) and 62,01 dBA (weekend), while Taruna Bakti School for about 66,06 dBA (weekdays) and 66,21 dBA (weekend).In conclusion, the number of traffic noise in RSIA Limijati and Taruna Bakti School area exceed the standard grade permission from Keputuan Menteri Negara Lingkungan Hidup No. 48/MENLH/11/1996 is about 55 dBA. For decreasing the number of traffic noise, it is a must for doing mitigation toward the effect of noise which is caused by traffic.Keywords: The traffic noise in hospital area, the traffic noise in school, Calculation of Road Traffic Noise Model


2021 ◽  
Vol 11 (18) ◽  
pp. 8363
Author(s):  
Roberto Benocci ◽  
H. Eduardo Roman ◽  
Giovanni Zambon

We review a Dynamap European Life project whose main scope was the design, commissioning, and actual implementation of “real-time” acoustic maps in a district of the city of Milan (District 9, or Z9, composed of about 2000 road stretches), by employing a small number of noise monitoring stations within the urban zone. Dynamap is based on the idea of finding suitable sets of roads displaying similar daily traffic noise behavior, so that one can group them together into single dynamical noise maps. The Dynamap sensor network has been built upon twenty-four monitoring stations, which have been permanently installed in appropriate locations within the pilot zone Z9, by associating four sensors to each one of the six group of roads considered. In order to decide which road stretches belong to a group, a non-acoustic parameter is used, which is obtained from a traffic flow model of the city, developed and tested over the years by the “Enviroment, Mobility and Territory Agency” of Milan (EMTA). The fundamental predictive equation of Dynamap, for the local equivalent noise level at a given site, can be built by using real-time data provided by the monitoring sensors. In addition, the corresponding contributions of six static traffic noise maps, associated with the six group of roads, are required. The static noise maps can be calculated from the Cadna noise model, based on EMTA road traffic data referred to the ‘rush-hour’ (8:00–9:00 a.m.), when the road traffic flow is maximum and the model most accurate. A further analysis of road traffic noise measurements, performed over the whole city of Milan, has provided a more accurate description of road traffic noise behavior by using a clustering approach. It is found that essentially just two mean cluster hourly noise profiles are sufficient to represent the noise profile at any site location within the zone. In order words, one can use the 24 monitoring stations data to estimate the local noise variations at a single site in real time. The different steps in the construction of the network are described in detail, and several validation tests are presented in support of the Dynamap performance, leading to an overall error of about 3 dB. The present work ends with a discussion of how to improve the design of the network further, based on the calculation of the cross-correlations between monitoring stations’ noise data.


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