MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||7|
|Section||Modern Technologies of Organization of International Transportations and Logistics|
|Published online||16 October 2019|
Improvement of the analysis methods of the working hours` distribution of locomotive crews by the types of train operation in freight traffic
Dnipro National University of Railway Transport, Department of Operation, 41010 Dnipro, Ukraine
2 Dnipro National University of Railway Transport, Department of Transport Junctions, 41010 Dnipro, Ukraine
3 Lvіv College of Transport Infrastructure of Dnipro National University of Railway Transport named after Academician V. Lazaryan, 79011 Lviv, Ukraine
* Corresponding author: email@example.com
The work is aimed to increase the efficiency of cargo transportation by railway transport by improving the work organization of locomotive crews. The research is based on the methods of organization of operational work of railways and the methods of mathematical statistics. The problem of increasing the use efficiency of working hours of locomotive crews in freight traffic is considered in the article. Based on the statistical data processing of drivers’ routes, the working hours` distribution of locomotive crews for different types of train operation in freight traffic for four locomotive depots was performed. During the research, a conditional division of the working time of locomotive crew by the type of work was performed, if the crew worked with trains of various categories. The algorithm for assigning the idle time and empty running of locomotive to certain types of train operation was also developed. The work originality lies in the fact that it improves the methods of analysis of the working hours` distribution of locomotive crews for certain types of train operation in freight traffic. The developed methods give an opportunity to evaluate the work specifics of individual locomotive depots and provide the initial data for planning the use of locomotives and the work and rest schedule of locomotive crews.
© The Authors, published by EDP Sciences, 2019
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.
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