| Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
|---|---|---|
| Article Number | 05033 | |
| Number of page(s) | 9 | |
| Section | Sustainable Transport and Green Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202338905033 | |
| Published online | 31 May 2023 | |
Actualization of technological interaction managing methods in portside transport systems
1 Rostov State Transport University, 2, Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Sq., Rostov-on-Don, 344038, Russia
2 Sirius University of Science and Technology, 1 Olympic Ave, Sochi, 354340, Russia
* Corresponding author: iren306@yandex.ru
Methodological approaches to the assessment of the portside transport and technological system development prospects in terms of interaction management in the “railway station - port” system are being studied. The method of port wagon flow distribution on the basis of combined application of analytical and simulation modeling, probabilistic-statistical and censorological approach is presented. An algorithm for the formation and assessment of the transport process axiom in the “railway station - port” system is formed. The approximations of power functions in the technocenosis of port station parameters are determined. Scientific methods, based on linear and dynamic programming, mass service theory, reliability theory, graph theory, probability theory, simulation modeling, etc. are widely used in the management of traffic flows. To describe the regularities of transport processes, the notions: individual, species, population, etc. are used in CA of the system “railway station - port”. The structural elements of the portside transport system, evaluated by means of CA, are presented in аrticle.
Key words: Transport technological system / port railway station / port / analytical modeling / cenological analysis / approximation of power functions / cargo flows management / time indicators parameterization / multimodal freight transportation / сargo / rolling stock
© 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.