https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Butko_et_al_2019a 2026-04-21T19:06:07Z Revision history for this page on the wiki MediaWiki 1.27.0-wmf.10 https://www.scipedia.com/wd/index.php?title=Butko_et_al_2019a&diff=212605&oldid=prev 2021-02-12T13:46:23Z

<p>Scipediacontent moved page <a href="/public/Draft_Content_895086499" class="mw-redirect" title="Draft Content 895086499">Draft Content 895086499</a> to <a href="/public/Butko_et_al_2019a" title="Butko et al 2019a">Butko et al 2019a</a></p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr style='vertical-align: top;' lang='en'> <td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 13:46, 12 February 2021</td> </tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

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<p>Created page with &quot; == Abstract == &lt;jats:p&gt;The article proposes a method for determining the rational motion intensity of specific train traffic flows on railway transport corridors with accou...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> &lt;jats:p&gt;The article proposes a method for determining the rational motion intensity of specific train traffic flows on railway transport corridors with account for balance of expenses on traction resources and cargo owners. A mathematical model based on stochastic optimization is developed, which allows to optimize, in the conditions of risks, the interval between trailing trains on the railway lines taking into account the limited resources of the traction rolling stock, the capacity of the stations and freight fronts at the cargo destination point. Solving this mathematical model allows to find a balance between the expenses for movement of train traffic flows from different railway lines to their terminal reference station and the expenses of a consignee, subject to the limitations of the technological logistics chain in cargo transportation. For the solution of this mathematical model, a Real-coded Genetic Algorithm (RGA) was used.<br /> <br /> Document type: Article<br /> <br /> == Full document ==<br /> &lt;pdf&gt;Media:Draft_Content_895086499-beopen407-7738-document.pdf&lt;/pdf&gt;<br /> <br /> <br /> == Original document ==<br /> <br /> The different versions of the original document can be found in:<br /> <br /> * [https://content.sciendo.com/downloadpdf/journals/ttj/20/3/article-p215.pdf https://content.sciendo.com/downloadpdf/journals/ttj/20/3/article-p215.pdf] under the license https://creativecommons.org/licenses/by-nc-nd<br /> <br /> * [http://www.degruyter.com/view/j/ttj.2019.20.issue-3/ttj-2019-0018/ttj-2019-0018.xml?format=INT http://www.degruyter.com/view/j/ttj.2019.20.issue-3/ttj-2019-0018/ttj-2019-0018.xml?format=INT],<br /> : [https://doaj.org/toc/1407-6179 https://doaj.org/toc/1407-6179] under the license cc-by-nc-nd<br /> <br /> * [https://content.sciendo.com/view/journals/ttj/20/3/article-p215.xml https://content.sciendo.com/view/journals/ttj/20/3/article-p215.xml],<br /> : [http://dx.doi.org/10.2478/ttj-2019-0018 http://dx.doi.org/10.2478/ttj-2019-0018]<br /> <br /> * [https://content.sciendo.com/view/journals/ttj/20/3/article-p215.xml https://content.sciendo.com/view/journals/ttj/20/3/article-p215.xml],<br /> : [http://eadnurt.diit.edu.ua/handle/123456789/11571?locale=ru http://eadnurt.diit.edu.ua/handle/123456789/11571?locale=ru],<br /> : [https://academic.microsoft.com/#/detail/2953884561 https://academic.microsoft.com/#/detail/2953884561] under the license http://creativecommons.org/licenses/by-nc-nd/3.0</div>

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