Artificial Intelligence as a Basic Resource of Modern Transport Infrastructure

Purpose: The purpose of this research is to assess and justify the economic justification for the project of installing cameras using the artificial intellect on the correction machine by cutting fuel costs and shortening the time of operation. Methods: The work was conducted on the basis of research on the present state of the railroad industry in the development of digital technologies with a systematization the main directions of intelligent applications of technology. Methods of mathematical analysis were used to analyze the process of intellectualization of the automated work control system. Results: The measures to computerize the front readiness determination for track dressing machines to maintain the quality of work for track sorting and efficient exploitation of highly productive track machinery have been substantiated. A current state map of the work front readiness process and optimized with the use of intelligent technologies was made. A method is proposed for assessing the economic effect of the introduction of an artificial intelligence camera to determine the readiness of the work front. A calculation is given to justify design measures to reduce fuel costs and the operating time of track equipment. Practical Significance: Fragmentary testing of the results of using artificial intelligence technologies based on a project to install cameras on straightening equipment confirms the possibility of using the main research results when modernizing the track infrastructure of railway transport based on the use of various digital technologies and tools.

• Record URL:
  • https://doi.org/10.1007/978-3-030-96380-4
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030963798
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Chechenova, Liana
• Conference:
  • International Scientific Siberian Transport Forum TransSiberia - 2021
  • Date: 2021-5-11 to 2021-5-14
• Publication Date: 2022-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 136-144
• Monograph Title: International Scientific Siberian Transport Forum TransSiberia - 2021: Volume 1
• Serial:
  • Lecture Notes in Networks and Systems
  • Volume: 402
  • Publisher: Springer Cham
  • ISSN: 2367-3370
  • Serial URL: https://www.springer.com/series/15179

Subject/Index Terms

• TRT Terms: Artificial intelligence; Automation; Cameras; Equipment; Maintenance of way; Railroad tracks
• Subject Areas: Data and Information Technology; Maintenance and Preservation; Planning and Forecasting; Railroads;

Filing Info

• Accession Number: 01952750
• Record Type: Publication
• ISBN: 9783030963798
• Files: TRIS
• Created Date: Apr 21 2025 12:03PM