Maximization of Energy Efficiency by Synchronizing the Speed of Trains on a Moving Block System

Janusz Szkopiński and Andrzej Kochan ()
Additional contact information
Janusz Szkopiński: Department of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Andrzej Kochan: Department of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland

Energies, 2023, vol. 16, issue 4, 1-26

Abstract: The publication deals with the problem of the effect of interference with the movement of the “preceding” train on the movement of the “following” train in the case of efforts to reduce the distance between trains on a moving block interval. The paper presents results of the simulations for train of the ED250 type for a set of 135 traffic situations: for three contexts of reducing the speed of the “preceding” train, for five variants of the method of controlling the “following” train and for nine initial distances between these trains. The results confirmed the possibility of gaining time and energy benefits by implementing an appropriate method of controlling the “following” train, as well as providing insights into the area of shortening the gaps between trains, including the pursuit of synchronizing the speed of trains and possibly coupling them into a so-called virtual couples.

Keywords: train control efficiency; train smoothness; energy efficiency; moving block distance; virtual coupling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/4/1764/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/4/1764/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:4:p:1764-:d:1064106

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().