Version 1
: Received: 13 December 2023 / Approved: 14 December 2023 / Online: 14 December 2023 (08:58:44 CET)
How to cite:
Rakhmangulov, A.; Pytaleva, O.; Osintsev, N. Equilibrium Decision Selection Model on Automotive Pollutant Emissions Decreasing: Case Study on Magnitogorsk City. Preprints2023, 2023121068. https://doi.org/10.20944/preprints202312.1068.v1
Rakhmangulov, A.; Pytaleva, O.; Osintsev, N. Equilibrium Decision Selection Model on Automotive Pollutant Emissions Decreasing: Case Study on Magnitogorsk City. Preprints 2023, 2023121068. https://doi.org/10.20944/preprints202312.1068.v1
Rakhmangulov, A.; Pytaleva, O.; Osintsev, N. Equilibrium Decision Selection Model on Automotive Pollutant Emissions Decreasing: Case Study on Magnitogorsk City. Preprints2023, 2023121068. https://doi.org/10.20944/preprints202312.1068.v1
APA Style
Rakhmangulov, A., Pytaleva, O., & Osintsev, N. (2023). Equilibrium Decision Selection Model on Automotive Pollutant Emissions Decreasing: Case Study on Magnitogorsk City. Preprints. https://doi.org/10.20944/preprints202312.1068.v1
Chicago/Turabian Style
Rakhmangulov, A., Olga Pytaleva and Nikita Osintsev. 2023 "Equilibrium Decision Selection Model on Automotive Pollutant Emissions Decreasing: Case Study on Magnitogorsk City" Preprints. https://doi.org/10.20944/preprints202312.1068.v1
Abstract
Higher traffic density in Russian cities and less uniform traffic due to congestions are reasons for increased emissions of pollutants contained in exhaust gases of vehicles. The paper presents the modeling results of pollutant dispersion in Magnitogorsk. The analysis of these results shows that now many blocks of flats and social infrastructure of the city are in a zone with an excess of maximum allowable concentration of pollutants. Having summarized the methodological framework formulated by Russian and foreign researchers, the authors systemized the existing methods used to decrease pollutants produced by vehicles. It is proposed to choose an optimal combination of such methods applying a developed mathematical model. By adopting an optimal combination of the methods, it is possible to ensure minimum air pollutant emissions from vehicles, allocating limited financial resources. The mathematical modeling of the solutions on changing traffic density and structure and implementing methods used to decrease pollutants on one of the Magnitogorsk crossroads with the heaviest traffic is used to draw a conclusion about efficiency of the designed model used as a tool for strategic planning of development and transformation of street networks.
Keywords
environmental safety of cities; air pollution; maximum allowable concentration; pollutant dispersion; motor vehicles; street network; level of motorization; crossroad; mathematical modeling
Subject
Environmental and Earth Sciences, Pollution
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
