1. O metropolitene URL: [Rezhim dostupa: https://gup.mosmetro.ru/o-metropolitene/] [accessed Sep 30 2021]
2. Lazarev A.A., Tarasov I.A. Sostavlenie optimal'nogo raspisaniya dvizheniya poezdov mezhdu dvumya stanciyami, Soedinennymi odnoputnoy zheleznoy dorogoy s raz'ezdom // UBS. - 2015. - №58. - S. 244-283.
3. Ignatenkov A.V., Ol'shanskiy A.M. Primenenie iskusstvennoy neyronnoy seti dlya postroeniya raspisaniy processov na primere grafika dvizheniya poezdov // Sovremennye informacionnye tehnologii i IT-obrazovanie. - 2015. - №11. - S. 50-55.
4. Lebedev A.V. Primenenie iskusstvennyh neyronnyh setey v operativnom upravlenii dvizheniem poezdov // Vestnik IrGTU. - 2008. - №4. - S. 81-84.
5. Podhody k ocenke kachestva planirovaniya i upravleniya dvizheniem passazhirskih poezdov metropolitena / T. A. Iskakov, A. I. Safronov, V. G. Sidorenko, M. A. Chzho // Avtomatika na transporte. - 2020. - T. 6. - № 1. - S. 38-63. - DOIhttps://doi.org/10.20295/2412-9186-2020-6-1-38-63.
6. Sidorenko V. G. Primenenie metodov iskusstvennogo intellekta k resheniyu zadach planirovaniya perevozochnogo processa metropolitena / V. G. Sidorenko, M. A. Chzho // Novye tendencii razvitiya v upravlenii processami perevozok, avtomatike i infokommunikaciyah: Trudy Vserossiyskoy nauchno-prakticheskoy konferencii uchenyh transportnyh vuzov, inzhenernyh rabotnikov i predstaviteley akademicheskoy nauki s mezhdunarodnym uchastiem, Habarovsk, 29 sentyabrya 2017 goda / Pod redakciey A.I. Godyaeva. - Habarovsk: Dal'nevostochnyy gosudarstvennyy universitet putey soobscheniya, 2017. - S. 197-201.
7. Danilenko T. M., Bulah V. A. Modelirovanie grafika dvizheniya poezdov po linii Har'kovskogo metropolitena // VEZhPT. - 2011. - №3 (50). - S. 54-57.
8. Sybil Derrible, Christopher Kennedy. The complexity and robustness of metro networks. Physica A 389 (17). - 2010. - PP.3678-3691.
9. Pei Liu, Marie Schmidt, Qingxia Kong, Joris Camiel Wagenaar, Lixing Yang, Ziyou Gao, Housheng Zhou. A robust and energy-efficient train timetable for the subway system, Transportation Research Part C: Emerging Technologies. Part 121. - 2020. - Pp. 102822 - 102849.
10. Xin Yang, Xiang Li, Bin Ning, Tao Tang. A Survey on Energy-Efficient Train Operation for Urban Rail Transit. IEEE Transactions on Intelligent Transportation Systems, Volume 17. -2015. - Pp. 2-13.
11. Haładyn, S. The Problem of Train Scheduling in the Context of the Load on the Power Supply Infrastructure. A Case Study. Energies. Part 14. - 2021. - Pp. 8248 - 8260.
12. Wenkai Xu, Peng Zhao, and Liqiao Ning. A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period. Journal of Advanced Transportation. - 2018. - Pp. 1-9.
13. Jovanovi´ c, P., Kecman, P., Bojovi´ c, N., Mandi´ c, D. Optimal allocation of buffer times to increase train schedule robustness. European Journal of Operational Research. Part 256. - 2017. Pp. 44-54.
14. Wang, P.; Goverde, R.M. Multi-train trajectory optimization for energy-efficient timetabling. European Journal of Operational Research. Part 272. - 2019. - Pp. 621-635.
15. Cacchiani, V.; Toth, P. Robust Train Timetabling. In Handbook of Optimization in the Railway Industry; International Series in Operations Research and Management Science 268; Springer: New York, NY, USA. - 2018. - Pp. 93-115.
16. Schipper, D.; Gerrits, L. Differences and similarities in European railway disruption management practices. J. Rail Transp. Plan. Manag. Part 8. - 2018. - Pp. 42-55.
17. S. Binder, Y. Maknoon, M. Bierlaire. “The multi-objective railway timetable rescheduling problem,” Transportation Research Part C: Emerging Technologies, vol. 78. - 2017. - Pp. 78-94.
18. Kolmogorov A.N., Fomin S.V. Elementy teorii funkciy i funkcional'nogo analiza. Nauka: M. - 1972. - S.544.
19. Seslavin A.I. Seslavina E.A. Principy ravnomernosti v zadachah upravleniya potokami passazhirskogo transporta. Prikladnaya informatika. - 2009. - № 2 (20). - S. 91-95.
20. Loginova, L.N. Matematicheskie metody i osnovnye principy organizacii transportnyh perevozok / L. N. Loginova, E. A. Seslavina, A. I. Seslavin // Transportnoe delo Rossii. - 2021. - № 4. - S. 84-87. - DOIhttps://doi.org/10.52375/20728689_2021_4_84.