Volume 10, Issue 1 (6-2023)                   IJRARE 2023, 10(1): 78-83 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sokolovskiy A. Improving efficiency of long-distance passenger railway traffic planning using the digital twins technology. IJRARE 2023; 10 (1) :78-83
URL: http://ijrare.iust.ac.ir/article-1-326-en.html
Joint Stock Company
Abstract:   (332 Views)
To increase the efficiency of planning long-distance passenger railway traffic, it is proposed to consider it a decision-making procedure for the synchronous interaction of all organizational units involved in the planning process. Relevant data for tasks at every step of traffic planning has different compositions of input and output points for possible use by other organizational units for their purposes.
Consecutive checks of compliance with the requirements of traffic planning stages are rather labor-consuming. Importantly, the alteration of one parameter of an existing transportation service offer may require rechecking the whole sequence of stages due to altered input parameters for the corresponding stages in the planning process.
Transportation planning efficiency improvements may be accomplished by using digital twins that assume a single cohesive model of data for the entire transportation organization process. This approach provides the use of related “sets” of data at every stage of the planning process for checking new transport service planning alternatives with given parameters, which require significantly less time and effort. Moreover, the abovementioned approach can also be applied to the tasks that require checking of parameter alteration possibilities for the existing transport service offers, which accelerates the checking process for these new conditions’ application possibilities
Full-Text [PDF 416 kb]   (196 Downloads)    
Type of Study: Research | Subject: Railway Transportation

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | International Journal of Railway Research

Designed & Developed by : Yektaweb