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- Abstract
Regression Analysis Applied to Influence of Traffic Flow Parameters on Emissions of Combustion Products
Abstract:
The aim of this paper is to analyze the impact of emissions of combustion products in the area of the street network of cities. During the preparation of the paper, we start from the relations that express the dependence of the emission of characteristic compounds, toxic components: carbon monoxide, nitrogen oxides, and solid particles from various parameters related to the street environment and traffic volume. The main contribution is updating the relations to which these dependencies are expressed. The parameters in the relations are the orientation of the street, the concept of the same, whether the street is of the canyon type or not, as well as those related to the volume of traffic. Dependency relations were obtained by regression analysis. We start from the position that the coefficients along with the parameters should be checked in accordance with the greater participation of modern engines on the one hand, but also the dilapidating of vehicles on the other. In order to establish a new state, a new recording of the emission of the mentioned components is performed, on the basis of which upto- date dependencies are formed. The contribution is in the formation of new relations through regression analysis, for each component, by applying a software package developed by the author of the work on recording the obtained value of toxic components for Despot Stefan Street in Belgrade.
CITATION:
IEEE format
M. Marković, D. Velimirović, “Regression Analysis Applied to Influence of Traffic Flow Parameters on Emissions of Combustion Products,” in Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2022, pp. 65-73. doi:10.15308/Sinteza-2022-65-73
APA format
Marković, M., Velimirović, D. (2022). Regression Analysis Applied to Influence of Traffic Flow Parameters on Emissions of Combustion Products. Paper presented at Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2022-65-73
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