Issue |
E3S Web Conf.
Volume 383, 2023
International Scientific Conference Transport Technologies in the 21st Century (TT21C-2023) “Actual Problems of Decarbonization of Transport and Power Engineering: Ways of Their Innovative Solution”
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 9 | |
Section | Low Carbon Mobility and Logistics | |
DOI | https://doi.org/10.1051/e3sconf/202338303005 | |
Published online | 24 April 2023 |
Solving logistic tasks by parallelizing algorithms of the theory of direct decompositions of torsion-free abelian groups
Emperor Alexander I St. Petersburg State Transport University, 9, Moskovsky Av., 190031, Saint Petersburg, Russian Federation
* Corresponding author: blagoveschenskaya@pgups.ru
The paper considers the principles of parallelization at marshalling yards and determines their importance. There are presented the methods for direct decompositions of torsion-free Abelian groups of finite rank. There are applied the concepts of “conditionally linear graphs” depicting railway trains and their characteristics, including “quasi-length”, which characterizes the length of the corresponding “quasi-graph”. There has been formalized a graphical approach to the redistribution of railcars of incoming trains at a marshalling yard for the formation of outgoing trains. The corresponding algorithms have been developed.
Key words: transport logistics / marshalling yards / the principle of parallelization / decomposition of abelian groups / graph transformations / a graph of a tiered-parallel form
© 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 (http://creativecommons.org/licenses/by/4.0/).
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.