Application of BP Neural Network in Traffic Noise Prediction

2012 ◽  
Vol 518-523 ◽  
pp. 3838-3842
Author(s):  
Gang Liu ◽  
Li Hua Lin ◽  
Rui Tian
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Measured Data ◽  
Sound Level ◽  
Road Traffic Noise ◽  
Noise Prediction

A model of BP neural network for road traffic noise prediction was established by using some road traffic parameters in this paper. Then use this model to predict equivalent continual sound level of road traffic noise, After an overview about the neural approach, the learning; and production phase results are shown and contrasted with the measured data. They point out how good is the approach proposed to model noise pollution in urban areas.

scholarly journals Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes-Engordany

Environments ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Robert Garcia Almazán ◽  
Marc Vilella ◽  
Marc Pons
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Signal To Noise Ratio ◽  
Traffic Noise ◽  
Critical Factor ◽  
Noise Pollution ◽  
Urban Environments ◽  
Road Traffic Noise ◽  
City Life ◽  
The Impact

Noise pollution is a critical factor and it has an important impact on public health, with the relationship between road traffic noise (RTN) and several illnesses in urban areas of particular concern. Andorra is currently developing a national strategy regarding noise pollution in their urban environments. The Ministry of Environment, Agriculture and Sustainability is trying to to identify, monitor, map and model the effects of noise pollution and design mitigation policies to reduce the impact in certain priority areas. This analysis should take into account the existence of different types of anomalous noise events (ANEs) present in the street, e.g., horns, people talking, music, and other events that coexist with RTN, to characterize the soundscape of each of the locations. This paper presents a preliminary analysis considering both the Signal-to-Noise Ratio (SNR) and the duration of the ANEs to evaluate their presence in urban areas in the three different locations in Andorra la Vella and Escaldes-Engordany. The experiments conducted required a 10-h recording campaign distributed in the three locations under study, which was evaluated on two different days, one during the week and the other on the weekend. Afterwards, the data were carefully labeled and the SNR of each event was evaluated to determine the potential impact of the four categories under study: vehicles, works, city life and people.

Measurement of Acoustic Properties of the Safety Anti-Skid Modification - ROCBINDATM

2018 ◽  
Vol 1145 ◽  
pp. 140-145
Author(s):  
Petr Kozak ◽  
Radka Matuszkova ◽  
Michal Radimsky
Keyword(s):  
Traffic Safety ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Acoustic Properties ◽  
Road Traffic Noise ◽  
The Road ◽  
Vehicle Propulsion

The noise pollution is an important factor for people living near roads. The road traffic noise is endangering the health of these residents and the quality of their lives. The tyre / road noise became the most significant source of the road traffic noise due reduced noise emissions from the vehicle propulsion system by the automotive industry. An important recent trend is increasing the traffic safety by improving anti-skid properties of roads in critical locations. Experts have concluded that some anti-skid modifications may increase the noise pollution. Because the usage of such pavements is predominantly in urban areas, problems may occur. This paper deals with the noise level of the safety anti-skid modification of the road surface used in the urban areas. Based on the presented measurement values it can be said that the RocbindaTM safety anti-skid modification does not achieve any increased acoustic performance compared to the asphalt pavement.

Low-Noise Asphalt Pavements in Urban Areas

2016 ◽  
Vol 858 ◽  
pp. 282-286
Author(s):  
Petr Kozak ◽  
Ondrej Dasek ◽  
Radka Matuszkova ◽  
Michal Radimsky
Keyword(s):  
Asphalt Concrete ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Low Noise ◽  
Thin Layers ◽  
Asphalt Pavements ◽  
Road Traffic Noise ◽  
Vehicle Speed

Current requirements for the reduction of the noise pollution in inhabited areas are constantly increasing. Acoustic wearing courses represent the real measures how to directly mitigate sources of road traffic noise created by a tire/road contact. Directly reduced noise emissions created by a tire/road contact don't need further mitigation by expensive noise barriers. Noise emissions on two different types of wearing courses of asphalt mixtures (Asphalt concrete for very thin layers and Low-noise stone mastic asphalt) were measured using the specialized device operating on the basis of CPX (Close Proximity method) and compared with the standard mixture of Asphalt concrete. Differences were between 1 dB and 5 dB depending on the wearing course and the vehicle speed. The efficiency of the low-noise asphalt pavements was also compared with the initial costs of the pavements. The economical evaluation confirmed that the initial costs of the acoustic wearing courses are higher than the costs of the standard asphalt concrete mixture. However the noise reduction by 1 dB using the asphalt concrete for very thin layers increases the costs just by 350 USD (considering the same length and width of the road segment), which makes acoustic wearing courses the economically efficient noise reducing measure.

scholarly journals Verification of NAISS Model for Road Traffic Noise Prediction in Urban Areas

2013 ◽  
Vol 19 (6) ◽  
Author(s):  
M. Prascevic ◽  
D. Cvetković ◽  
D. Mihajlov ◽  
Z. Petrović ◽  
B. Radičević
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

scholarly journals 3D noise mapping for preselected locations of urban area with and without noise barriers: A case study of Delhi, India

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 74-83
Author(s):  
Pervez Alam ◽  
Kafeel Ahmad ◽  
S. S. Afsar ◽  
Nasim Akhtar
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Residential Building ◽  
Noise Pollution ◽  
Critical Issue ◽  
Road Traffic Noise ◽  
Noise Barriers ◽  
Noise Mapping

AbstractNoise pollution has been rising as a critical issue in recent days particularly for the people living in urban areas. This study has been conducted to find out the effects of traffic induced noise on nearby residential building through 3D noise mapping with and without noise Barriers. Monitoring has been carried out at various densely populated preselected locations of Delhi, India. Thereafter, 3D noise mapping has been done using hourly average noise levels for the locations exposed with maximum noise. The developed 3D noise map shows the variation of noise level along X, Y and Z direction for all selected locations before and after installation of noise barriers. Moreover, the result also shows that exact assessment of noise impact is possible through 3D noise mapping, when a multistory building close to the source of noise is taken into consideration. This paper also elaborates the adequate height, distance and NRC value of noise barrier to reduce the effect of road traffic noise on nearby high rise building. Reduction pattern of noise level can easily be visualized and evaluated by using these maps. This type of study could support decision makers during adaptation of suitable remedial measures.

scholarly journals Traffic noise inhibits cognitive performance in a songbird

2021 ◽  
Vol 288 (1944) ◽  
pp. 20202851
Author(s):  
Alison Osbrink ◽  
Megan A. Meatte ◽  
Alan Tran ◽  
Katri K. Herranen ◽  
Lilliann Meek ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Anthropogenic Noise ◽  
Road Traffic Noise ◽  
Negative Effects ◽  
Cognitive Interference ◽  
Noise Impacts

Noise pollution is commonly associated with human environments and mounting evidence indicates that noise has a variety of negative effects on wildlife. Noise has also been linked to cognitive impairment in humans and because many animals use cognitively intensive processes to overcome environmental challenges, noise pollution has the potential to interfere with cognitive function in animals living in urban areas or near roads. We experimentally examined how road traffic noise impacts avian cognitive performance by testing adult zebra finches ( Taeniopygia guttata ) on a battery of foraging tasks in the presence or absence of traffic noise playback. Here, we show that traffic noise reduces cognitive performance, including inhibitory control, motor learning, spatial memory and social learning, but not associative colour learning. This study demonstrates a novel mechanism through which anthropogenic noise can impact animals, namely through cognitive interference, and suggests that noise pollution may have previously unconsidered consequences for animals.

scholarly journals Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

2020 ◽  
Vol 20 (1) ◽  
pp. 351-364
Author(s):  
Guillermo Angel Perez Lopez ◽  
Léa Cristina Lucas de Souza
Keyword(s):  
Mathematical Models ◽  
Road Traffic ◽  
Traffic Noise ◽  
Pollution Index ◽  
Noise Pollution ◽  
Sound Level ◽  
Pollution Indices ◽  
Road Traffic Noise ◽  
Mathematical Methods ◽  
Vehicle Traffic

Abstract In this study, we propose an analysis of the vehicular traffic noise indices and comparison between field measurements and prediction data obtained from mathematical models. The study area consists of two pedestrians routes of a medium-sized South American city. University students use these routes in displacements between their universities and residences. We monitored twenty-eight points along the two routes, performing three daytime measurements for each point. The calculated values were obtained from two mathematical predicted models: the English model CRTN (Calculation of Road Traffic Noise) and the French model NMPB-Routes (Nouvelle Methode de Prevision de Bruit). The measurements considered two noise descriptors: the A-weighted equivalent sound level (LAeq) and the noise pollution index (Lnp). The results show that the pedestrians are exposed to excessive levels of vehicle traffic noise along these routes. However, the analysis showed that the two mathematical models achieved good similarity and high performance in the prediction potential. The CRTN model has a better performance than NMPB, proving to be useful as an auxiliary tool in the monitoring of vehicle traffic noise. Finally, we used the CRTN (LAeq) predictions to generate the map of noise pollution indices.

scholarly journals RESEARCH ON THE EFFECTS OF PAVEMENT SURFACE CONDITION ON ROAD TRAFFIC NOISE

2012 ◽  
Vol 1 (8) ◽  
Author(s):  
Mirza Pozder
Keyword(s):  
Prediction Models ◽  
Road Traffic ◽  
Surface Condition ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
Noise Emission ◽  
Pavement Surface ◽  
Pollution Problem

The noise is meant by all unwanted sounds. As the years were passing by the noise has become more and more intense. European Union adopted Directive 2002/49/EC recognizing noise pollution problem. During the processes of planning and designing, and after the construction of new roads, it is of major importance to determine the level of traffic noise which is going to occur or which has already occurred. For that purposes mathematical models for prediction of noise emission and dispersion have been used. The aim of this paper is to represent the results of the research on the effects of pavement surface condition on road traffic noise. Research results were used to develop noise prediction models.

scholarly journals Evaluation of road traffic noise near tube-shaped bus rapid transit shelters

2021 ◽  
Vol 9 (72) ◽  
Author(s):  
Geanesson Alberto de Oliveira Santos ◽  
Eriberto Oliveira do Nascimento ◽  
Paulo Henrique Trombeta Zannin
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Sound Level ◽  
Urban Traffic ◽  
Bus Rapid Transit ◽  
Road Traffic Noise ◽  
Rapid Transit ◽  
Noise Levels

Noise pollution is generally imperceptible, but it can cause various disorders, including psychological disorders, hearing loss and cardiovascular disease. Curitiba Municipal Law 10.625:2002 establishes upper limits of daytime noise exposure according to zoning areas and land use in the City of Curitiba. The purpose of this study was to evaluate noise immissions of urban traffic in the proximities of Bus Rapid Transit (BRT) shelters in Curitiba, Brazil. Daytime traffic noise levels were measured between 8am and 5pm near the entrance of these bus shelters in July and August 2014. Fifty-four measurement points at parks, residences, stores, schools, universities and hospitals in different zoning groups of the municipality were selected as a function of the type of population. The noise levels were recorded using a class I sound level meter. Brazil has no specific standard or law for traffic noise immissions, so the guidelines of the Brazilian standard ABNT NBR 10151:2000 were used. It was concluded that 74% of the measured noise levels varied from 70 to 76 dB(A). Only point 48, close to the Antônio Meireles Sobrinho BRT Shelter, was considered free of noise pollution. Traffic noise accounts for an overall average of 73 dB(A). A few bus shelters installed on the same street had an absolute average difference of 3 dB(A), while bus shelters located farther away from roads were the least noisy. The lowest average traffic noise levels, i.e., 71 dB(A), were recorded on roads for exclusive use by BRT buses.

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