| Issue |
E3S Web Conf.
Volume 403, 2023
XII International Scientific and Practical Forum “Environmentally Sustainable Cities and Settlements: Problems and Solutions” (ESCP-2023)
|
|
|---|---|---|
| Article Number | 07012 | |
| Number of page(s) | 8 | |
| Section | Sustainable Development of Transport Infrastructure in the Conditions of Ensuring Environmental Safety of the City | |
| DOI | https://doi.org/10.1051/e3sconf/202340307012 | |
| Published online | 25 July 2023 | |
Concept and Imitation Modeling of Sustained Transport Model in Moscow Area
1 Moscow Polytechnic University, 38 Bolshaya Semyonovskaya str., Moscow, 107023 Russia
2 Russian State Social University, Bld. 1, 4 Wilhelm Peak str., Moscow, 129226 Russia
3 Plekhanov Russian Economy University, 36 Stremyanniy pereulok, Moscow 117997 Russia
4 Moscow Aviation Institute (National Research University), 4 Volokolamskoye shosse, Moscow 125993 Russia
1 Corresponding author: askrasnikov@gmail.com
The article presents the concept of sustainable development of a street road network segment connecting the Koptevo district and the Timiryazevskiy district in the Northern Administrative District of Moscow. When designing the concept of changes, the authors used common scientific methods in their research in order to determine problems and related domain objects. It was found that the sustainable development of this area requires modernization of the district’s transport system. All traffic flows, their objects, relations and external characteristics affecting the nature of traffic were identified for this road segment. This resulted in a formal model of traffic flow. By analyzing the research findings, the authors developed a concept of road infrastructure changes to improve the time, environmental and safe efficiency of traffic flows. To substantiate the efficiency, a formal traffic model was developed along with its respective parametric model being a basis for the imitation model.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.