Correlation analysis traffic intensity of the motor vehicles and the air pollution by their harmful emissions

Dyvak, Mykola; Darmorost, Iryna; Shevchuk, Ruslan; Manzhula, Volodymyr; Kasatkina, Natalia

doi:10.1109/tcset.2018.8336331

Cited by 11 publications

(2 citation statements)

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“…A high incidence of conventions can be expected in these places. In connection with road transport, it is assumed that there will be an increased production of exhaust gas emissions in these places, this is also confirmed by studies [9,51]. In the right part of the picture, you can see the location of public transport stops within the city.…”

Section: Measurement Methodologymentioning

confidence: 70%

Identification of places with deteriorated air quality in city of Žilina in relation to road transport

Šarkan,

Loman,

Harantová

2023

The Archives of Automotive Engineering – Archiwum Motoryzacji

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The aim of the research is to identify places with deteriorated air quality in the selected city. After an analytical analysis of the data, it is possible to propose steps that can be used to actively contribute to the reduction of air pollution, especially due to road traffic. Places where deteriorated air quality was identified were identified on the basis of practical measurements. Given that the measurement route was designed in a built-up area of the city with a large number of pedestrians, the research was primarily focused on the identification of particulate matters (PM) and the concentration of carbon monoxide CO. The measurements were performed repeatedly on a pre-defined route. The measurements were carried out repeatedly during the morning rush hour when traffic was congested on the roads. Based on the processing and evaluation of the measurements, the sections where increased values of individual emissions were recorded were determined. In this way, it is possible to precisely identify places where air quality deteriorates. The research conclusions provide support for planning the optimization of air quality management policies towards the creation of sustainable cities. The research results present the possibilities of identifying problematic sections from the point of view of emissions production. Critical places with regard to the production of emissions can be connected to places where a permanently increased movement of vehicles is observed.

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Section: Measurement Methodologymentioning

confidence: 70%

Identification of places with deteriorated air quality in city of Žilina in relation to road transport

Šarkan,

Loman,

Harantová

2023

The Archives of Automotive Engineering – Archiwum Motoryzacji

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“…to forecast the uptake of oxygen based on genes evaluation and to predict data on patient admission [22], and others; (2) Econometrics: to predict the audit opinion using six financial indicators [23], to determine the dependence of economic growth on the level of environmental pollution [24], to describe the trends of economical parameters in correlation with various factors [25,26], and others; (3) Transport systems: to determine the optimal periodicity of the implementation of operation processes [27,28], and to analyze possible routes and traffic intensity [29][30][31]; (4) Aviation: to identify flight conditions and situations based on diagnostic parameter monitoring [32,33], and to predict the human state and decision making depending on various environmental factors [34,35]; (5) Radar systems: to estimate the efficiency of signal detection [36], to determine the dependence of weather parameters on radar-received signals [37][38][39], and others;…”

Section: Literature Review and Statement Of The Problemmentioning

confidence: 99%

A Method of Accuracy Increment Using Segmented Regression

et al. 2022

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The main purpose of mathematical model building while employing statistical data analysis is to obtain high accuracy of approximation within the range of observed data and sufficient predictive properties. One of the methods for creating mathematical models is to use the techniques of regression analysis. Regression analysis usually applies single polynomial functions of higher order as approximating curves. Such an approach provides high accuracy; however, in many cases, it does not match the geometrical structure of the observed data, which results in unsatisfactory predictive properties. Another approach is associated with the use of segmented functions as approximating curves. Such an approach has the problem of estimating the coordinates of the breakpoint between adjacent segments. This article proposes a new method for determining abscissas of the breakpoint for segmented regression, minimizing the standard deviation based on multidimensional paraboloid usage. The proposed method is explained by calculation examples obtained using statistical simulation and real data observation.

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