Reduction of environmental impact from road transport using analysis and simulation methods

Road transport is one of the main sources of atmospheric pollution in urbanized areas. The volume of emissions from road transport has been increasing starting from 2013. This is mainly due to the condition of the transport infrastructure and control systems. Therefore, the development of evidence-based methods of increasing the efficiency of traffic management through the modernization of infrastructure facilities and control systems in problematic areas of the street and road network is crucial and of practical and theoretical interest. This paper analyzes problematic areas of the street and road network in a medium-sized city. The authors have made simulation models of an area of the street and road network on the basis of the discrete-event approach using a road traffic library. Measures to modernize this area are suggested. A computer experiment using a model with a changed configuration has shown that this area has a significant potential of improving traffic flow parameters and, therefore, reducing the environmental impact. © 2020 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the XIV International Conference 2020 SPbGASU “Organization and safety of traffic in large cities”

Авторы
Mavrin V.1 , Magdin K.1 , Shepelev V.2 , Danilov I. 3
Сборник материалов конференции
Издательство
Elsevier B.V.
Язык
Английский
Страницы
451-457
Статус
Опубликовано
Том
50
Год
2020
Организации
  • 1 Kazan Federal University, 10A Syuyumbike Avenue, Naberezhnye Chelny, 423812, Russian Federation
  • 2 South Ural State University, 76 Lenin Avenue, Chelyabinsk, 454080, Russian Federation
  • 3 Рeoples' Friendship University of Russia (RUDN University, 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
Ключевые слова
Environmental impact of road transport; Simulation model; Traffic flows
Дата создания
20.04.2021
Дата изменения
29.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/71873/
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