| Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
|---|---|---|
| Article Number | 05049 | |
| Number of page(s) | 6 | |
| Section | Sustainable Transport and Green Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202338905049 | |
| Published online | 31 May 2023 | |
The existing influence of means of individual mobility on the speed indicators of urban traffic flow
Belgorod State Technological University named after V.G. Shukhov, st. Kostyukova, 46, 308012, Belgorod, Russia
* Corresponding author: yungnastena33@gmail.com
This article presents the results of assessing the impact of means of individual mobility on the indicators of traffic flow by finding the dependencies of the speed of traffic flow on the number of SIM on the road network (UDS) in the morning rush hour, evening rush hour and inter-peak [1]. The purpose of the study is to obtain real values of the speed of the traffic flow for further analysis and comparison, which in the future will allow us to understand how the number of means of individual mobility [2] affects this value (study of the speed indicators of the traffic flow as a result of changes in its composition, taking into account the appearance of SIM). It is proposed to use a method for finding intermediate values, namely the interpolation method of the Lagrange polynomial. With its help, it is possible to find the values of the speed of the traffic flow.
© 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.