Analysis Of Traffic Noise Research Articles

Analysis of traffic noise in a selected town and assessment of its impact on traffic safety

The article discusses issues related to noise in relation to road safety. The work concerns issues of broadly conducted noise level research in Wrocław and in several cities of the Lower Silesia Voivodship. This study contains the results of noise level tests and their overview at one of the intersections in Wrocław.

Traffic noise analysis in railway station zones

The interim railway noise modelling method RMR, recommended by Directive 2002/49/EC, was developed with the aim of creating strategic noise maps for all major railways, as well as for tracks in urban areas, and harmonizing the parameters for noise level evaluation. Studies conducted in several European countries have shown that the interim method does not meet local conditions of these countries, and that noise levels determined by this method differ from noise levels obtained by field measurements. Traffic noise modelling in the vicinity of Ivanić Grad Railway Station, located near Croatia’s capital Zagreb, is described in this paper. Noise levels were determined by means of the RMR interim method, recommended by Directive, and Schall 03, German national method that is still widely used in Croatian noise protection practice. Furthermore, two different scenarios were considered so as to determine the impact of railway vehicle dynamics on noise levels. Vehicle acceleration and deceleration segments were defined in detail in the first scenario, while changes in vehicle moving speeds were neglected in the second scenario. Research results have shown that the noise levels determined by the RMR interim method are lower than those obtained by field measurements, and that the Schall 03 noise modelling method presents more accurate results, which points to the pressing need to develop a national railway noise modelling method in Croatia. Previous noise analyses, conducted on other railway stations in Croatia, have also pointed to this problem.

Modelling of road traffic noise

Effective implementation of the EC Communication relating to urban mobility is dependent on adopting relevant indicators that will allow comprehensive assessment of the measures undertaken under the urban mobility plan. One of the fundamental parameters for this assessment is the equivalent sound level indicator, measured over the 24-hour period, used to evaluate the annoyance of the road traffic noise. Not only is its value important but also its variability. This paper reports the results of the analysis of traffic noise along a major road, performed using various descriptors. The data recorded continuously throughout the year by the traffic rate and noise monitoring terminal were used to construct the measurement database. Analysis of the results was performed for the period between March and June in 2011 and 2016. The road was renovated between 2013 and 2015. The noise variability assessment was conducted using classical and positional indicators. Measurement uncertainties were evaluated.

Evaluation and analysis of traffic noise in different zones of Faisalabad – an industrial city of Pakistan

Noise is surely one of the most undesirable by-products of the modern mechanized lifestyle. We see the rush and the fights between the masses relating to the traffic laws everywhere, their violations and their after-shocks. To assess the noise levels in busy roads of Faisalabad, a study was conducted at three different times of a day i.e. morning (9:00 am), noon (3:00 pm) and evening (6:00 pm). Out of a total of 85 sites, 6 sites at morning time, 52 sites at noon time and 27 sites at evening time were exceeding the permissible limit set by Pak-EPA (NEQS). The maximum noise levels recorded were 101.7 dB (A) at State Bank Road, 107.9 dB(A) at Jhal Pull and 107.9 dB(A) at Ayub Agricultural Research Institute (AARI) at morning, noon and evening, respectively. At the same time, the minimum noise levels recorded were 68.3(A) dB at Jhang Bazar, 75.7 dB(A) at Nishat Abad Pull and 71.3 dB (A) was at Jamia Chistian Chowk in morning, noon and evening, respectively. Overall maximum noise level of 107.9 dB(A) was found at two sites, and the minimum noise level was 68.3 dB(A).

Microphone array geometry optimization for traffic noise analysis.

This paper outlines an approach for obtaining microphone array geometry for use in traffic noise analysis. The designed array has a smaller number of microphones compared to existing solutions, thereby reducing the cost of system realization. The array geometry is irregular, consists of 24 microphones, and was obtained by an optimization procedure that minimizes beampatterns sidelobes. Microphone position optimization was performed in the frequency band from 300 Hz to 2000 Hz, defined by traffic noise characteristics. The designed array is used in ongoing research dedicated to the analysis of angular distribution of incident traffic noise sound energy impeding a facade in urban environment.

Dynamic simulation and characteristics analysis of traffic noise at roundabout and signalized intersections

Traffic noise prediction is an important topic for traffic environment planning in cities. The complex traffic flow at road intersections makes the prediction of traffic noise challenging. In this paper, a dynamic traffic noise simulation method based on microscopic traffic simulation is used to study the traffic noise near roundabout and signalized intersections. A vehicle noise emission model that considers the effect of acceleration is established using an experimental method. The accuracy of the model is verified by comparison with measured data. Traffic noise near roundabout and signalized intersections under different traffic volume levels is simulated, and the results are compared. Some significant relations between traffic noise and traffic volume are obtained, and the mechanisms are analyzed. The results show that traffic noise reaches an upper limit when traffic is saturated, and the noise energy contribution of the exit lane is far greater than that of the entrance lane.

Evaluation of a Traffic Noise Predictive Model for an Active Noise Cancellation (ANC) System

PURPOSES : The purpose of this thesis is to evaluate the effectiveness of an active noise cancellation (ANC) system in reducing the traffic noise level against frequencies from the predictive model developed by previous research. The predictive model is based on ISO 9613-2 standards using the Noble close proximity (NCPX) method and the pass-by method. This means that the use of these standards is a powerful tool for analyzing the traffic noise level because of the strengths of these methods. Traffic noise analysis was performed based on digital signal processing (DSP) for detecting traffic noise with the pass-by method at the test site. METHODS : There are several analysis methods, which are generally divided into three different types, available to evaluate traffic noise predictive models. The first method uses the classification standard of 12 vehicle types. The second method is based on a standard of four vehicle types. The third method is founded on 5 types of vehicles, which are different from the types used by the second method. This means that the second method not only consolidates 12 vehicle types into only four types, but also that the results of the noise analysis of the total traffic volume are reflected in a comparison analysis of the three types of methods. The constant percent bandwidth (CPB) analysis was used to identify the properties of different frequencies in the frequency analysis. A-weighting was applied to the DSP and to the transformation process from analog to digital signal. The root mean squared error (RMSE) was applied to compare and evaluate the predictive model results of the three analysis methods. RESULTS : The result derived from the third method, based on the classification standard of 5 vehicle types, shows the smallest values of RMSE and max and min error. However, it does not have the reduction properties of a predictive model. To evaluate the predictive model of an ANC system, a reduction analysis of the total sound pressure level (TSPL), dB(A), was conducted. As a result, the analysis based on the third method has the smallest value of RMSE and max error. The effect of traffic noise reduction was the greatest value of the types of analysis in this research. CONCLUSIONS : From the results of the error analysis, the application method for categorizing vehicle types related to the 12-vehicle classification based on previous research is appropriate to the ANC system. However, the performance of a predictive model on an ANC system is up to a value of traffic noise reduction. By the same token, the most appropriate method that influences the maximum reduction effect is found in the third method of traffic analysis. This method has a value of traffic noise reduction of 31.28 dB(A). In conclusion, research for detecting the friction noise between a tire and the road surface for the 12 vehicle types needs to be conducted to authentically demonstrate an ANC system in the Republic of Korea.

Assessment of honking impact on traffic noise in urban traffic environment of Nagpur, India.

BackgroundIn context of increasing traffic noise in urban India, the objective of the research study is to assess noise due to heterogeneous traffic conditions and the impact of honking on it.MethodTraffic volume, noise levels, honking, road geometry and vehicular speed were measured on national highway, major and minor roads in Nagpur, India.ResultsInitial study showed lack of correlation between traffic volume and equivalent noise due to some factors, later identified as honking, road geometry and vehicular speed. Further, frequency analysis of traffic noise showed that honking contributed an additional 2 to 5 dB (A) noise, which is quite significant. Vehicular speed was also found to increase traffic noise. Statistical method of analysis of variance (ANOVA) confirms that frequent honking (p < 0.01) and vehicular speed (p < 0.05) have substantial impact on traffic noise apart from traffic volume and type of road.ConclusionsThe study suggests that honking must also be a component in traffic noise assessment and to identify and monitor “No Honking” zones in urban agglomerations.

Traffic noise, honking and urban planning in Amsterdam in 1930

Traffic noise was seen as a serious problem around 1930. Cars and trucks were noisier than today, and the horn was used more frequently. This led to loud protests and anti-noise campaigns, which have been discussed by historians in studies of the evolution of traffic noise in the twentieth century. In this article we first describe the situation around 1930 from a historical point of view, and next we present an approximate quantitative assessment of traffic noise around 1930, including horn noise, focusing on the city of Amsterdam. Noise maps of Amsterdam are presented for cars, trucks, and horns in 1930, and for comparison also for cars and trucks in 2012. The noise maps for 1930 are based on detailed traffic data for Amsterdam in 1930, which were derived from two reports published in 1934 and 1940 about an extensive traffic count in Amsterdam in 1930. The traffic count was carried out in the framework of the Amsterdam Expansion Plan of 1934. The results of the traffic noise analysis presented here are discussed in the light of expectations around 1930 about future developments of Amsterdam, as well as in the wider context of sprawling cities after World War II. The results also put today's approach of traffic noise mapping and annoyance assessment in perspective.

Assessment of Traffic Noise on Highway Passing from Urban Agglomeration

Assessment of traffic noise pollution in developing countries is complex due to heterogeneity in traffic conditions like traffic volume, road width, honking, etc. To analyze the impact of such variables, a research study was carried out on a national highway passing from an urban agglomeration. Traffic volume and noise levels (L10, L min , L max , L eq and L90) were measured during morning and evening peak hours. Contribution of noise by individual vehicle was estimated using passenger car noise unit. Extent of noise pollution and impact of noisy vehicles were estimated using noise pollution level and traffic noise index, respectively. Noise levels were observed to be above the prescribed Indian and International standards. As per audio spectrum analysis of traffic noise, honking contributed an additional 3–4 dB(A) noise. Based on data analysis, a positive relationship was observed between noise levels and honking while negative correlation was observed between noise levels and road width. The study suggests that proper monitoring and analysis of traffic data is required for better planning of noise abatement measures.

Analysis of Traffic Noise along Oyemekun - Oba - Adesida Road Akure Ondo State Nigeria

Analysis of Traffic Noise along Oyemekun - Oba - Adesida Road Akure Ondo State Nigeria

ENVIRONMENTAL MODELING FOR TRAFFIC NOISE IN URBAN AREA

Traffic noise can be classified among the worst factors in terms of damage to people’s health and well-being. The trend of noise pollution modeling variable from the smart result of classic regressive models in the performance of many assessment models based on mathematical expressions, genetic algorithms and neural networks (of GRNN type, General Regression Neural Network). A methodological approach for the quantitative analysis of traffic noise in urban settings was proposed in the study. We present an analysis of the acoustic data measured in the city of Villa S. Giovanni (Italy), simultaneous measurement is of noise levels and vehicle flow and composition were done. Different prediction models were compared and a classification for the best assessment tool in the analysis of the equivalent level of noise Leq was given. The results show how the neural network approach provides better performance than the classical solution based on statistical analyses. The GRNN network is best suited to the simulation of the phenomenon seems and for the application in more complex areas, with greater variability in the traffic patterns, such as the case considered.

Dynamic simulation and characteristics analysis of traffic noise at signal-controlled pedestrian crossing junction

Experiments were carried out to measure the noise emission levels in cruise conditions and acceleration/deceleration noise adjustments were made for three types of single vehicles at a reference distance. Integrating vehicle noise emission model and propagation model, the traffic noise at a signal-controlled pedestrian crossing junction was simulated dynamically with real-time traffic flow data provided by microcosmic traffic simulation software. Finally, both the accuracy of simulation results and the practicability of this approach were verified by comparing the simulation results with the measured data. Some prominent characteristics of traffic noise near a signal-controlled pedestrian crossing junction were analyzed as well

Evaluation and analysis of traffic noise along bus rapid transit system corridor

Due to increasing motorization, construction of flyovers and growth in transport network, the noise level has exceeded the prescribed limits in many Indian cities. The health implications of high noise levels are being identified as hypertension, sleeplessness, mental stress, etc. Due to this adverse effect of noise level, it is essential to assess the impact of traffic noise on residents and road users. This research is an effort to quantify and analyze the traffic noise emissions along bus rapid transit corridor in Delhi. Field measurements were carried out to understand and assess various aspects of the impact of bus rapid transit system corridor on land use and social lives of residents and road users. The present analysis presents the comparison between observed and predicted noise level at selected corridors and also describes the mitigatory measures to overcome such type of traffic noise pollution through design of noise barrier along the road and motivate people towards the use of public transport system.

Analysis of traffic noise in a road intersection configuration

Acoustical noise produced by vehicular traffic depends on many parameters, including the geometry and the general features of the road. The presence of a conflicting point, i.e. an intersection, st...

Differences in assessments of traffic noise impacts in China and the USA

Traffic noise is one of the major global concerns regarding impacts on the quality of the human environment. A number of predicted noise analysis methodologies have been developed to evaluate these impacts, but few studies have been conducted on the differences in noise analysis methods between developing countries and developed countries. This paper examines the differences in traffic noise policies and analysis methods between Guangzhou City and New York City, in an effort to represent a general case for traffic noise analysis between China and the USA. In Guangzhou City, Technical Guidelines for Noise Impact Assessment (HJ/T2.4-1995), issued by Ministry of Environmental Protection of the People's Republic of China, outlines appropriate methods for environmental noise assessment. In New York City, the City Environmental Quality Review Technical Manual outlines appropriate methods for environmental noise assessment. This paper briefly demonstrates for each the relevant noise policy, standards, predicted models, and methodologies for traffic noise analyses. This paper also presents detailed traffic noise analysis procedures for two Environmental Impact Statement studies. Finally, experimental findings are summarized to explore differences in traffic noise assessment between China and the USA. The findings in this study may be beneficial to the Global Noise Policy for the implementation of effective traffic noise control technology.

Analysis of Traffic Noise Measured On-site near Signalized Intersections

Analysis of Traffic Noise Measured On-site near Signalized Intersections

Motorway noise modelling based on perpendicular propagation analysis of traffic noise

A model for motorway traffic noise has been obtained from measurements along the the Bangkok–Chonburi motorway. The model’s parameters include traffic volume and combination, the average spot speed of each type of vehicle and the physical conditions of the motorway in terms of right-of-way width, number of lanes, lane width, shoulder width, and median width for both of the main carriageways and frontage roads. The noise level that is generated by each type of vehicle has been analyzed according to the propagation in the direction perpendicular to the center line of motorway’s carriageway. The total traffic noise is then analyzed from traffic volume of all vehicle types on both sides of carriageways and frontage roads. The basic noise levels used in the motorway traffic noise model are modified according to the effective ground effect along the propagation path. The final result of this study is that a motorway traffic noise model based on the perpendicular propagation analysis technique performs well in a statistical goodness-of-fit test against the field data, and therefore, can be used effectively in traffic noise prediction for related or similar motorway projects.

Evaluation and analysis of traffic noise from the main roads in the Trakya region of Turkey

This study concerns analysis and evaluation of traffic noise in the Trakya region of Turkey. Road traffic noise is one of the most significant sources of noise pollution in this region. Measurements of traffic noise levels in the Trakya region implicated that noise levels in this region were higher than those set by the Turkish Noise Control Regulations. This paper presents the results of the road traffic noise measurements, traffic noise characteristics of the Trakya region, Turkish noise standards and policy and noise mitigation strategies aiming for quiet cities. For the covering abstract see ITRD E129315.

GIS-based highway traffic noise analysis for land use planning

Improved accessibility caused by the development of roads is a major driving force for faster economic growth of a country. However, the uncontrolled roadside development and exposure to adverse environmental impacts in the absence of proper land use planning is often a major concern to planners. Traditional land use planning is not directly governed by environmental considerations. In the present paper a GIS based approach is suggested for the analysis of noise level due to highway development projects. The use of modelled noise levels for land use planning in the surrounding areas of highways is also demonstrated with reference to a case study in India.