Paper
20 February 2024 Mathematical model of the formation of transport schedules for regular passenger traffic
Author Affiliations +
Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650B (2024) https://doi.org/10.1117/12.3024924
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan
Abstract
The integrating role of the transport schedule of regular passenger transportation for the tasks of the tactical and operational levels of transport system management determined the relevance of the presented study. The purpose of the study is related to the development of methods and algorithms for the formation of schedules of regular passenger transport. The formulation and formalization of the task using the schemes of formation of schedules and priority rules are carried out. For numerical experimentation, a mock-up of a program for forming a railway schedule and a test task were developed, including 4573 applications for weekly schedules of a railway network containing 100 stations, 128 runs between stations, 100 passenger routes of different frequency, 471 trains per week. The developed layout of the program, in addition to performing calculations using the presented algorithms, visualizes the results of numerical experimentation in the form of spiral representations of station schedules and runs. The operability of the developed methods and algorithms has been confirmed. The conclusions and discussion of the results of the study are presented.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Vladimir Mavzovin, Nikolay Klevanskiy, Alexandra Orekhovskaya, Ramil Zagidullin, and Vladimir Zyryanov "Mathematical model of the formation of transport schedules for regular passenger traffic", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650B (20 February 2024); https://doi.org/10.1117/12.3024924
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KEYWORDS
Transportation

Mathematical modeling

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