Scientific foundations for enhancing the efficiency of implementing integrated intelligent technologies in the transport and logistics process of freight delivery
R.R. Safiullin1, L.A. Simonova2
1 Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation
2 Kazan Federal University, Naberezhnye Chelny, Russian Federation
Russian Mining Industry №1S / 2025 p. 55-61
Abstract: The research is aimed at developing methods to assess and optimize the efficiency of the transportation process as part of integration into a unified intelligent transport system of the country. The purpose of integrating into the intelligent transport systems is to unite all the participants of the transport process into a single, highly organized network. Efficient management of logistics processes is impossible without such interaction, as each element of the chain plays its own unique role and requires constant communication with the other participants. With the coordinated interaction of all the links in the chain, there arises the possibility to reduce time and financial costs, improve the quality and perform transport work more accurately. The study (1) forms the scientific basis to improve the efficiency of implementing integrated intelligent technologies in the transportation and technological process of cargo delivery, which is based on the dependence of the road transport performance on the parameters of highways; (2) offers a developed algorithm for an integrated assessment of the transportation process efficiency and a complex model to form an integral criterion for assessing the efficiency of the transportation process with due account of the operating parameters of highways; (3) a hypothesis regarding the priority influence of the transport infrastructure parameters on the performance of road transport has been proved; (4) a model of the physical architecture of the intelligent system for organizing the transportation process has been created; (5) a programme has been developed that allows to design a route for freight transport based on the given weight parameters of the cargo and the optimization function.
Keywords: intelligent transport systems, transport infrastructure, transportation efficiency, automation, technical and operational indicators, optimization algorithms
For citation: Safiullin R.R., Simonova L.A. Scientific foundations for enhancing the efficiency of implementing integrated intelligent technologies in the transport and logistics process of freight delivery. Russian Mining Industry. 2025;(1S):55–61. https://doi.org/10.30686/1609-9192-2025-1S-55-61
Article info
Received: 28.11.2024
Revised: 24.01.2025
Accepted: 03.02.2025
Information about the authors
Ruslan R. Safiullin – Cand. Sci. (Eng.), Associate Professor, Associate Professor of the Department of Transport and Technological Processes and Machines, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; https://orcid.org/0000-0003-2315-3678; e-mail: safiyllin@yandex.ru
Larisa A. Simonova – Dr. Sci. (Eng.), Corresponding member of the Russian Academy of Natural Sciences, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; https://orcid.org/0000-0002-3653-1845; e-mail: lasimonova@mail.ru
References
1. Бегишев И.Р. Правовое регулирование беспилотных транспортных средств. Транспортное право. 2021;(3):7–10. Begishev I.R. The legal regulation of unmanned means of transport. Transportnoe Pravo. 2021;(3):7–10. (In Russ.)
2. Glistau E., Coello Machado N. Smart logistics in the context of Industry 4.0: Research prospects and future perspectives. Procedia Computer Science. 2021;181:609–616.
3. Caris A., Macharis C., Janssens G.K. Decision support in intermodal transport: A new research agenda. Computers in Industry. 2013;64(2):105–112. https://doi.org/10.1016/j.compind.2012.12.001
4. Сафиуллин Р.Н., Сафиуллин Р.Р., Сорокин К.В. Метод оценки и прогнозирования технического состояния ресурсных элементов карьерных самосвалов на основе контрольных карт Шухарта. Горный информационно-аналитический бюллетень. 2024;(7):111–124. https://doi.org/10.25018/0236_1493_2024_7_0_111 Safiullin R.N., Safiullin R.R., Sorokin K.V. Assessment and prediction of technical condition of dump truck life components using the Shewhart control charts. Mining Informational and Analytical Bulletin. 2024;(7):111–124. https://doi.org/10.25018/0236_1493_2024_7_0_111
5. Safiullin R., Arias Z.P. Comprehensive assessment of the effectiveness of passenger transportation processes using intelligent technologies. The Open Transportation Journal. 2024;18:e26671212320514. https://doi.org/10.2174/0126671212320514240611100437
6. Борисов С.В., Колтунова Е.А., Кладиев С.Н. Совершенствование структуры имитационной модели тягового асинхронного электропривода рудничного электровоза. Записки Горного института. 2021;247:114–121. https://doi.org/10.31897/PMI.2021.1.12 Borisov S.V., Koltunova E.A., Kladiev S.N. Traction asynchronous electric drive of mine electric locomotivesimulation model structure improvement. Journal of Mining Institute. 2021;247:114–121. https://doi.org/10.31897/PMI.2021.1.12
7. Богданова Н.А. Обоснование направлений развития предприятия по выпуску автотранспорта с использованием прогнозных моделей (на примере ПАО «Нефаз»). В кн.: Арефьев И.Б., Волкова В.Н. (ред.) Анализ и прогнозирование систем управления в промышленности, на транспорте и в логистике: труды 24-й междунар. науч.-практ. конф. молодых ученых, студентов и аспирантов, г. Санкт-Петербург, 23–25 апр. 2024 г. СПб.: Медиапапир; 2024. С. 108–112.
8. Сержан С.Л., Скребнев В.И., Малеванный Д.В. Исследование влияния шероховатости стальных и полимерных труб на потери напора при гидротранспорте хвостовой пульпы. Обогащение руд. 2023;(4):41–49. https://doi.org/10.17580/or.2023.04.08 Serzhan S.L., Skrebnev V.I., Malevanny D.V. Study of the effects of steel and polymer pipe roughness on the pressure loss in tailings slurry hydrotransport. Obogashchenie Rud. 2023;(4):41–49. https://doi.org/10.17580/or.2023.04.08
9. Петраков Д.Г., Пеньков Г.М., Золотухин А.Б. Экспериментальное исследование влияния горного давления на проницаемость песчаника. Записки Горного института. 2022;254:244–251. https://doi.org/10.31897/PMI.2022.24 Petrakov D.G., Penkov G.M., Zolotukhin A.B. Experimental study on the effect of rock pressure on sandstone permeability. Journal of Mining Institute. 2022;254:244–251. https://doi.org/10.31897/PMI.2022.24
10. Курганов В.М., Грязнов М.В., Колобанов С.В. Оценка надежности функционирования экскаваторно-автомобильных комплексов в карьере. Записки Горного института. 2020;241:10–21. https://doi.org/10.31897/pmi.2020.1.10 Kurganov V.M., Gryaznov M.V., Kolobanov S.V. Assessment of operational reliability of quarry excavator-dump truck complexes. Journal of Mining Institute. 2020;241:10–21. https://doi.org/10.31897/pmi.2020.1.10
11. Мустафаев А.С., Сухомлинов В.С., Бажин В.Ю., Буковецкий Н.А., Суров А.В. Плазменная технология получения сверхчистого корунда. Цветные металлы. 2024;(4):21–29. https://doi.org/10.17580/tsm.2024.04.03 Mustafaev А.S., Sukhomlinov V.S., Bazhin V.Yu., Bukovetskiy N.A., Surov А.V. Plasma technology for producing ultrapure corundum. Tsvetnye Metally. 2024;(4):21–29. (In Russ.) https://doi.org/10.17580/tsm.2024.04.03
12. Великанов В.С. Прогнозирование нагруженности рабочего оборудования карьерного экскаватора по нечетко-логистической модели. Записки Горного института. 2020;241:29–36. https://doi.org/10.31897/pmi.2020.1.29 Velikanov V.S. Mining excavator working equipment load forecasting according to a fuzzy-logistic model. Journal of Mining Institute. 2020;241:29–36. https://doi.org/10.31897/pmi.2020.1.29
13. Большунов А.В., Васильев Д.А., Дмитриев А.Н., Игнатьев С.А., Кадочников В.Г., Крикун Н.С. и др. Результаты комплексных экспериментальных исследований на станции Восток в Антарктиде. Записки Горного института. 2023;263:724– 741. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16308 (дата обращения: 18.11.2024). Bolshunov A.V., Vasilev D.A., Dmitriev A.N., Ignatev S.A., Kadochnikov V.G., Krikun N.S. et al. Results of complex experimental studies at Vostok station in Antarctica. Journal of Mining Institute. 2023;263:724–741. Available at: https://pmi.spmi.ru/pmi/article/view/16308 (accessed: 02.10.2024).
14. Беликова Д.Д., Морозов Е.В., Хисамутдинова Э.Л. Оптимальное управление силовыми агрегатами горных машин в диапазоне эксплуатационных режимов при применении системы контроля качества моторного масла. Горный информационно-аналитический бюллетень. 2021;(6):95–103. https://doi.org/10.25018/0236_1493_2021_6_0_95 Belikova D.D., Morozov E.V., Khisamutdinova E.L. Optimizing control of mining machine power-units within the normal power setting range by means of engine oil quality monitoring. Mining Informational and Analytical Bulletin. 2021;(6):95– 103. (In Russ.) https://doi.org/10.25018/0236_1493_2021_6_0_95
15. Симонова Л.А. Информационное обеспечение управления технологическими маршрутами. Saarbrucken: LAP LAMBERT; 2012. 196 с.
16. Safiullin R.N., Reznichenko V.V., Safiullin R.R. The software adaptive system for managing the heavy cargo transportation process based on the automated vehicle weight and size control system. Journal of Physics: Conference Series. 2021;1753:012063. https://doi.org/10.1088/1742-6596/1753/1/012063
17. Petrakov D.G., Loseva A.V., Alikhanov N.T., Jafarpour H. Standards for selection of surfactant compositions used in completion and stimulation fluids. International Journal of Engineering. 2023;36(9):1605–1610. https://doi.org/10.5829/ije.2023.36.09c.03
18. Жуковский Ю.Л., Сусликов П.К. Оценка потенциального эффекта применения технологии управления спросом на горных предприятиях. Устойчивое развитие горных территорий. 2024;16(3):895–908. https://doi.org/10.21177/1998-4502-2024-16-3-895-908 Zhukovsky Yu.L., Suslikov P.K. Assessment of the potential effect of applying demand management technology at mining enterprises. Sustainable Development of Mountain Territories. 2024;16(3):895–908. https://doi.org/10.21177/1998-4502-2024-16-3-895-908
19. Клебанов А.Ф., Бондаренко А.В., Жуковский Ю.Л., Клебанов Д.А. Организация удаленных центров управления горным предприятием: стратегические предпосылки и этапы реализации. Горная промышленность. 2024;(4):174–183. https://doi.org/10.30686/1609-9192-2024-4-174-183 Klebanov A.F., BondarenkoA.V., Zhukovsky Yu.L., Klebanov D.A. Establishing remote control centers of a mining operation: strategic prerequisites and implementation stages. Russian Mining Industry. 2024;(4):174–183. (In Russ.) https://doi.org/10.30686/1609-9192-2024-4-174-183
20. Литвинова Т.Е., Герасёв С.А. Поведение фосфата церия (III) в карбонатно-щелочной среде. Записки Горного института. 2024:1–8. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16416 (дата обращения: 18.11.2024). Litvinova T.E., Gerasev S.A. Behaviour of cerium (III) phosphate in a carbonate-alkaline medium. Journal of Mining Institute. 2024:1–8. Available at: https://pmi.spmi.ru/pmi/article/view/16416 (accessed: 18.11.2024).
