INVESTIGATION OF ACOUSTIC LOAD FROM TRAFFIC FLOW ON THE EXAMPLE OF THE CITY OF KHMELNYTSKY

2021 ◽  
Vol 2021 (24) ◽  
pp. 183-192
Author(s):  
Anatolii Morozov ◽  
◽  
Nataliia Mironova ◽  
Tetiana Morozova ◽  
Victor Rybak ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Residential Buildings ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Urban Ecosystem ◽  
Reproductive Capacity ◽  
Traffic Flows ◽  
Natural Habitats ◽  
Acoustic Load ◽  
The City

Introduction. Urbanization, intensification of road transport, development of urban infrastructure contributes to increased noise pollution. As traffic flows increase, so do acoustic discomfort zones, and the problem of traffic noise is becoming increasingly environmentally and socially important. Problem statement. The traffic flow significantly exacerbates the environmental problems of cities. One of the most negative factors is the increasing acoustic load. Noise pollution is currently becoming one of the most important environmental stressors. Noise levels depend on the intensity, speed, nature of traffic, type and quality of coverage, land use planning (longitudinal and transverse street profiles, building architecture, traffic lights) and the presence of greenery. Noise leads to an imbalance of auditory adaptation, regulatory processes of the central nervous system, gastrointestinal tract, hemodynamic disorders, the development of noise sickness. At long influence mechanisms of reflex and neurohumoral reactions are broken, there is a nervous pathology, attention decreases by 12-16%. Physiological and biochemical adaptation of a person to noise is impossible, in addition, noise has an inherent consuming effect. Acoustic load has a negative impact on flora and fauna. The main ones are reduced adaptive and reproductive capacity, changes in trophic nets, increased risk of predation, growth retardation, accelerated transpiration, death of leaves and flowers. This problem is most acute for urban ecosystems, as urbanization is one of the main factors in reducing biodiversity due to the loss of natural habitats, their fragmentation or drastic change. In urban conditions, many anthropogenic (industrial, transport noise) is added to the natural noise, which significantly changes the acoustic background. Currently, the noise load in megacities has increased by 12-15 dB, and the volume by three to four times. In cities with heavy traffic, the noise level is approaching 80 dB. Cartographic methods are widely used to visualize and predict noise load. Mapping the noise load of cities is relevant for Ukraine. Currently, acoustic maps have been developed only for certain districts of Kyiv. The creation of acoustic maps will help improve the ecological condition of urban areas. Purpose. Investigate and assess the level of noise load created by traffic flows on the main highways of the city of Khmelnytsky, create an acoustic map and determine the main directions of noise pollution. Research methods. general scientific (generalization, comparison, analysis and synthesis, theoretical and methodological substantiation); mathematical statistics; field (full-scale measurements of noise on the territory); cartographic (construction of a map-scheme) Results. The article highlights the problem of urban ecosystem acoustic load. It is evaluated the noise pollution of Khmelnytskyi city in Ukraine. The noise contamination model is constructed using GIS technologies within modern software package. It is shown that simulation and visualization of noise load using software makes it possible to objectively and detail estimate the acoustic situation and to propose managerial decisions development to protect the population from noise. Conclusion. The intensity of traffic noise depends on the condition and width of roads, the distance of residential buildings from the axis of the roadway. Depending on the capacity of roads, the presence of intersections changes the acoustic load. Reduction of urban traffic noise is associated with absorbing, reflecting, shielding and insulating acoustic ability. Optimization of noise protection of the urban ecosystem depends on a set of architectural and planning solutions. When introducing technical and economic characteristics of noise protection measures, it is necessary to take into account their features (practical limitations and opportunities).

scholarly journals Assessment of the noise level on arterial streets depending on traffic flow indicators

2021 ◽  
Vol 2021 (2) ◽  
pp. 52-63
Author(s):  
Oleg Mironyuk ◽  
Keyword(s):  
Traffic Flow ◽  
Public Transport ◽  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Traffic Flows ◽  
Residential Areas ◽  
Protection Measures ◽  
Arterial Streets ◽  
On The Road

The intensity of traffic flows increases every year and intensifies its impact significantly on urban territory's ecologic situation and natural environment. In Ukrainian cities, the growth of noise pollution is quite a topical problem as it has a significant impact on the environment because of the increase in car numbers. Traffic flow intensity and densification of the built-up area cause the increase of the noise level. As analytical methods of calculation of determination of traffic noise level have several disadvantages, then for assessing the level of noise on arterial streets of Lviv city, research is carried out with consideration of traffic flow indicators. One of the critical criteria that have an impact on noise pollution in the urban environment is traffic flow composition. Conducted research indicates that the speed of traffic flow creates significant noise pollution, especially on those streets where cobblestone is a road pavement. Freight and passenger transport that moves along arterial streets causes the increase of noise level and increases its impact on the city territory. On sections of arterial streets in peak periods of the day with high values of volume-capacity ratio and general share of freight and public transport of more than 30% in a flow, the noise exceeds the acceptable norms and has a harmful impact on the environment. That is why it is necessary to assess noise pollution and the development of protection measures from noise during the planning and construction of some urban regions or residential areas. It is established that to lower the noise level on streets, it is necessary to consider existing intersections of arterial streets and the regime of movement on them. To lower transport noise, it is necessary to distribute freight and transit transport by city streets more rationally, use qualitative public transport, and limit the maximal speed regime on city streets. Further research on the road network will provide an opportunity to assess the noise level distribution of traffic flows in Lviv city. It will help to determine the problem places and propose methods of combating traffic noise.

TripRes

2021 ◽  
Vol 17 (2) ◽  
pp. 1-21
Author(s):  
Xiaolong Xu ◽  
Zijie Fang ◽  
Lianyong Qi ◽  
Xuyun Zhang ◽  
Qiang He ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Discrete Distribution ◽  
Resource Provisioning ◽  
Path Selection ◽  
Urban Traffic ◽  
Traffic Flows ◽  
Multimedia Services ◽  
Traffic Flow Prediction ◽  
The City ◽  
Multimedia Surveillance

The Internet of Vehicles (IoV) connects vehicles, roadside units (RSUs) and other intelligent objects, enabling data sharing among them, thereby improving the efficiency of urban traffic and safety. Currently, collections of multimedia content, generated by multimedia surveillance equipment, vehicles, and so on, are transmitted to edge servers for implementation, because edge computing is a formidable paradigm for accommodating multimedia services with low-latency resource provisioning. However, the uneven or discrete distribution of the traffic flow covered by edge servers negatively affects the service performance (e.g., overload and underload) of edge servers in multimedia IoV systems. Therefore, how to accurately schedule and dynamically reserve proper numbers of resources for multimedia services in edge servers is still challenging. To address this challenge, a traffic flow prediction driven resource reservation method, called TripRes, is developed in this article. Specifically, the city map is divided into different regions, and the edge servers in a region are treated as a “big edge server” to simplify the complex distribution of edge servers. Then, future traffic flows are predicted using the deep spatiotemporal residual network (ST-ResNet), and future traffic flows are used to estimate the amount of multimedia services each region needs to offload to the edge servers. With the number of services to be offloaded in each region, their offloading destinations are determined through latency-sensitive transmission path selection. Finally, the performance of TripRes is evaluated using real-world big data with over 100M multimedia surveillance records from RSUs in Nanjing China.

scholarly journals Characteristics of Traffic Flows at Kuda Mati non-traffic light Intersection in Workhour and Holidays

2018 ◽  
Vol 73 ◽  
pp. 08030
Author(s):  
F. Betaubun Herbin
Keyword(s):  
Traffic Flow ◽  
Movement Pattern ◽  
Survey Method ◽  
Traffic Flows ◽  
Traffic Light ◽  
City Center ◽  
Work Time ◽  
Traffic Lights ◽  
Economic Support ◽  
The City

Characteristics of traffic flow needs to be revealed to describe the traffic flow that occurred at the research location. One of the patterns of traffic flow movement of Merauke Regency that is important enough to be observed is the movement pattern that occurs at Kuda Mati Non-traffic lights Intersection. This intersection is one of the access for economic support of Merauke Regency. The intersection connects the city center to the production centers and is used by the community to perform activities in meeting their needs such as working and meeting the needs of clothing, food and shelter. This fulfillment activity is usually differentiated according to work time and holiday time. The method used is survey method to describe the characteristics of traffic flow at the intersection. Data analysis applied MKJI 1997. The results show that peak hour traffic flow occurs at 17.00 - 18.00 on holiday 803 smp / hour, while for working time the traffic flow is evenly distributed with maximum vehicle volume occur at 12:00 to 13:00 which amounted to 471 smp / hour.

scholarly journals Traffic Noise Levels in the City of Banja Luka

2018 ◽  
Vol 16 (1-2) ◽  
Author(s):  
Predrag Ilić ◽  
Dragana Nešković Markić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Environmental Problem ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Noise Levels ◽  
Great Problem ◽  
Health Institutions ◽  
Banja Luka ◽  
The City

Noise pollution, as a major environmental problem, is present in Banja Luka. The measured values exceeded the level of noise allowed, which is a great problem. Evaluation of the noise levels was carried out in the streets in the area with health institutions. Objectives of this research were to evaluate the environmental noise pollution in the City of Banja Luka due to traffic noise and to compare the measured noise levels in the city with legislation and to establish the connection between noise and the number of vehicles. Correlation between the noise level and number of vehicles was positive and significant during the study period (r=0.89). It is confirmed that, with the increase of the number of vehicle, the noise level increases, i.e. the decrease in the number of vehicle decreases the noise level.

scholarly journals ECONOMIC ASPECTS OF THE CITY TRAFFIC NOISE: CASE STUDY // EKONOMSKI ASPEKTI BUKE OD GRADSKOG SAOBRAĆAJA: STUDIJA SLUČAJA

2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Jelena Božić ◽  
Predrag Ilić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Scientific Evidence ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Common Denominator ◽  
Economic Implications ◽  
The Impact ◽  
The City

Noise pollution is one of the main environmental problems today.The main source of environmental noise is traffic noise, especially the noise of road vehicles. The continuing expansion of motorized transport in Europe and Republic of Srpska today, and especially the sharp increase in the use of private cars raises concerns about the health risks.The aim of the case study was to determine the noise level at the location „Borik“ in Banja Luka. The measured values indicate that the noise level in this street is alarming. This paper discusses health and well-being related impacts of traffic noise pollution as well as the economic and social benefits associated with its reduction. It summarizes the latest scientific evidence on the impact of road traffic-induced noise on physical and mental health as a reaction to the high level of traffic noise risks. According to the scientific evidence, road traffic is the main source of noise pollution in Europe that cause harmful health such as impaired communication and disturbed sleep, as well as adverse after effects such as fatigue and decreased performance, annoyance, hearing impairment, ischemic heart disease and hypertension. The effects of unhealthy noise level are reflected on living and working conditions, consequently affecting the economy.This paper highlights economic implications and health benefits linked to cross-functionalities in the process of noise reduction in urbanism, architecture and vehicle design and methods for its evaluation. Cost-benefit analysis would be a pivotal decision-making tool for the city road traffic and land-use decisions. Economic valuation is about identifying all preferences and translating them into a money measure, to create a common denominator for comparing the pros and cons. Any decision implicitly include a money value into health effects. A holistic approach is crucial, considering the various health and economic consequences together.

scholarly journals A study of Land Zoning in the base of Traffic Noise Pollution Levels using ArcGIS: Kirkuk City as a Case Study

2018 ◽  
Vol 13 (4) ◽  
pp. 137-151
Author(s):  
Shno Mustafa Ali ◽  
Ako Rashed Hama ◽  
Younis Mustafa Ali
Keyword(s):  
Traffic Noise ◽  
Satellite Image ◽  
Noise Pollution ◽  
Maximum Level ◽  
Pollution Levels ◽  
The Future ◽  
Air Pollutions ◽  
Noise Measurements ◽  
High Level ◽  
The City

This study is an approach to assign the land area of  Kirkuk city [ a city located in the northern of Iraq, 236 kilometers north of  Baghdad  and 83 kilometers  south of  Erbil [ Climatic atlas of  Iraq, 1941-1970  ]  into different  multi zones by using Satellite image and Arc Map10.3,  zones of different traffic noise pollutions. Land zonings process like what achieved in this paper will help and of it’s of a high interest point for the future of Kirkuk city especially urban planning and economic issues of the city. Also, it may be considered as a reference in solving the traffic jam problems in the city. Transportations and sounds of horn of vehicles are the major sources of traffic noise pollutions .Vehicular traffic noise problems are contributed by various types of vehicles such as heavy and medium trucks or buses or automobiles. During this study, six major regions within the city were selected (Governorate region, Baghdad road, Al Wasti, Al Askary, Al Nasir and North garage). A survey for all those six regions were taken place  and noise measurements  were captured at points  or  near to the  intersections  for a duration of three different periods days per a week  [  Sunday 3rd , Monday 4th , and  Tuesday 5th] of January 2016. The results showed  a  high level of noise pollution and super passing on many occasions to the prescribed levels by Central Pollution Control Board (CPCB) , maximum level noise pollution  value was 94.6 dB(A) in AlWasti region near to the road that leading to Kirkuk university , while minimum level noise pollution  value was 48 dB(A) in AlNasir region. As a result, a noise map zoning was prepared for Kirkuk City for top peak working three days. The prepared noise distribution map will help and could be used as a considerable point for the future during designing projects related to transportations. Also in another hand, the map reflected indirectly the amount of regional air pollutions. High distributed noise pollution zones means a zone of a high air pollutions levels specially Cox and Nox gaseous pollutions.  

scholarly journals SELECTED ISSUES IN MODELLING OF TRAFFIC FLOWS IN CONGESTED URBAN

2014 ◽  
Vol 29 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Renata Żochowska
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Transportation Network ◽  
Traffic Flows ◽  
Traffic Shaping ◽  
Dynamic Traffic ◽  
Urban Network ◽  
Traffic Models ◽  
The Subject ◽  
The City

Making rational decisions about the planning and designing the traffic management in the city requires a proper description of traffic flows following through the various elements of the transportation network. This issue is the subject of many studies, resulting in a wide variety of models used in this field. Generally they can be divided into two main groups: models describing the distribution of traffic flows in the transportation network and models describing the transition of traffic flow by individual elements of the transportation network. This article reviews the models used to describe the traffic shaping in such an arrangement. Then the way of describing traffic flows, which may be used in the construction and calibration of dynamic traffic models has been formalized. The article also includes a calculation example with application of the proposed description of the components of traffic flows on the link of urban network.

scholarly journals The issue on environmental assessment of air quality of residential areas near traffic flows

2018 ◽  
Vol 245 ◽  
pp. 12009
Author(s):  
Tatiana Germanova ◽  
Anna Kernozhitskaya
Keyword(s):  
Residential Buildings ◽  
Sustainable Urban Development ◽  
Chemical Pollution ◽  
Pollution Level ◽  
Traffic Flows ◽  
Residential Areas ◽  
Current State ◽  
The Hours ◽  
Network Composition ◽  
The City

A significant role in ensuring comfortable living conditions in the urban environment is played by the competent organization of the transport and road complex, which is aimed at ensuring road safety, reducing the load on highways for car density and improving the efficiency of traffic in the city when performing planning and technological measures. At the same time, the current state of the city’s traffic flows as sources of increased chemical pollution of the air environment requires an increase in the distance from streets and roads to residential buildings. This distance should be normalized by chemical and physical indicators of the state of atmospheric air and should be taken into account when red lines are established. In this article we analyze: functional state of the city, road network, composition and intensity of traffic flows for Tyumen. The traffic flows of the city are concentrated mainly in the central part of it. A particularly critical situation is formed at the intersections of cargo-loaded main streets at the hours of maximum traffic intensity and on the main highways of the city. We substitute the provision of regulatory requirements for the chemical pollution level at a distance from the border of the carriageway to the border of residential buildings in order to achieve sustainable urban development.

scholarly journals Predicting Hourly Traflc Noise from Traflc Flow Rate Model: Underlying Concepts for the DYNAMAP Project

Noise Mapping ◽  
2016 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Smiraglia ◽  
R. Benocci ◽  
G. Zambon ◽  
H.E. Roman
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Noise ◽  
Simple Analytical Model ◽  
Rate Model ◽  
Flow Rates ◽  
Dynamic Noise ◽  
The City ◽  
Noise Map ◽  
Good Agreement

AbstractThe DYNAMAP project aims at obtaining a dynamic noise map of a large residential area such as the City of Milan (Italy), by recording traffic noise from a limited number of noise sensors. To this end,we perform a statistical analysis of road stretches and group them into different clusters showing a similar measured hourly traffic noise behavior. In the sameway,we group simulated hourly traffic flow rates and compare their compositions with those of the traffic noise groups. The best agreement with the traffic noise was found by using the so-called normal traffic flow rate, yielding overlaps between 68 and 97%. Finally, we derive a simple analytical model to predict the hourly traffic noise from the simulated normal traffic flow, in very good agreement with the measured values.

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