Mathematical Modeling of Transportation Flows

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Finance, Economics, and Industry for Sustainable Development (ECOOP 1987)

Abstract

This paper discusses mathematical modeling of transportation routing, the process of creating mathematical models that describe and predict the behavior of traffic flows, such as public transportation movements, based on various factors such as road networks, road conditions, and vehicle flows. To implement the software and mathematical support that allows to analyze the work of public transport system with changing input parameters, modeling factors, and target indicators, the method of simulation models was used, as well as the method of simulation experiments, including optimization experiments. The General Purpose Simulation System package was used to optimize the route of public transport. Experimental investigations of the developed mathematical model on optimization of public transport route using simulation model have been carried out. A mathematical and simulation model of Kazan bus route No. 54 is developed. The article presents the results of creating a simulation application for conducting computational experiments and optimizing the operation of public transport, the abovementioned route.

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References

  • Alemasov, E. P., & Zaripova, R. S. (2020). Machine learning perspectives. Information Technologies in Construction, Social and Economic Systems, 2(20), 32–34. https://www.elibrary.ru/item.asp?id=43955122 (In Russ)

    Google Scholar 

  • Cherny, S. N., & Gibadullin, R. F. (2022). The recognition of handwritten digits using neural network technology. In 2022 international conference on industrial engineering, applications and manufacturing (ICIEAM) (pp. 965–970). IEEE. https://doi.org/10.1109/ICIEAM54945.2022.9787104

    Chapter  Google Scholar 

  • Chupaev, A. V., Zaripova, R. S., Galyamov, R. R., & Sharifullina, A. Y. (2019). The use of industrial wireless networks based on standard ISA-100.11a and protocol WirelessHART in process control. In E3S web of conferences (Vol. 124, p. 03013). EDP Sciences. https://doi.org/10.1051/e3sconf/201912403013

    Chapter  Google Scholar 

  • Evdokimov, P. V. (2007). Neural-network predictive models of dynamic objects. In Proceedings of the II international conference on modeling of sustainable regional development (pp. 209–212). KBCRAN. (In Russ).

    Google Scholar 

  • Filimonova, T. K., & Ovseenko, G. A. (2023). Development of a system for optimizing the route of public transport. International Journal of Advanced Studies: Transport and Information Technologies, 13(2), 63–69.

    Google Scholar 

  • Gerasimov, V. A., Nuriev, M. G., & Gashigullin, D. A. (2022). The fiber-optic communication system in the enterprise. In 2022 international Russian automation conference (RusAutoCon) (pp. 75–79). IEEE. https://doi.org/10.1109/RusAutoCon54946.2022.9896375

    Chapter  Google Scholar 

  • Hebel, K. (2008). Sources and factors predetermining the amount of demand for urban transportation services (on the example of cities in Poland). Vestnik of the Russian State University named after I. Kant. Humanities and Social Science, 3, 89–96. https://cyberleninka.ru/article/n/istochniki-i-faktory-predopredelyayuschie-velichinu-sprosa-na-gorodskie-transportnye-uslugi-na-primere-gorodov-polshi (In Russ)

    Google Scholar 

  • Khusnutdinov, A. N., & Nuriev, M. G. (2022). The sound pressure level meter. In 2022 international Russian automation conference (RusAutoCon) (pp. 63–68). IEEE. https://doi.org/10.1109/RusAutoCon54946.2022.9896267

    Chapter  Google Scholar 

  • Minullin, R. G., Abdullazyanov, E. Y., Piskovatsky, Y. V., Kasimov, V. A., Minkin, A. S., & Filimonova, T. K. (2021). Using the location method for simulated-and-experimental location of single-phase-to-earth faults in overhead lines of 6–35 kV distribution networks. Power Technology and Engineering, 54, 733–739. https://doi.org/10.1007/s10749-020-01279-8

    Article  Google Scholar 

  • Ovseenko, G. A., Kashaev, R. S., Koshkina, I. A., Kosulin, V. V., Khamatgaleeva, G. A., & Ulengov, R. A. (2023). The possibility of artificial neural network application in prototy** in instrument making industry. In 2023 5th international youth conference on radio electronics, electrical and power engineering (REEPE) (Vol. 5, pp. 1–5). IEEE. https://doi.org/10.1109/REEPE57272.2023.10086823

    Chapter  Google Scholar 

  • Petrova, E. A. (2022). Simulation modeling in planning of public transport networks. In Proceedings of the international youth scientific conference Tinchurin readings 2022 “energy and digital transformation” (Vol. 3, pp. 117–120) https://www.elibrary.ru/download/elibrary_49225778_23906991.pdf (In Russ)

    Google Scholar 

  • Plotnikova, L. V., Giniyatov, R. R., Sitnikov, S. Y., Fedorov, M. A., & Zaripova, R. S. (2019). Perfection of the methodology for develo** industrial secondary energy generation systems. IOP Conference Series: Earth and Environmental Science, 288(1), 012069. https://doi.org/10.1088/1755-1315/288/1/012069

    Article  Google Scholar 

  • Shakirzyanov, M., Gibadullin, R., & Nuriyev, M. (2023). Prerequisites for the development of the system of automatic comparison of video and audio tracks by the speaker’s articulation. In E3S web of conferences (Vol. 419, p. 02029). EDP Sciences. https://doi.org/10.1051/e3sconf/202341902029

    Chapter  Google Scholar 

  • Smirnov, Y., Kalyashina, A., & Zaripova, R. (2022). Simulation of robotic laser welding process. In 2022 international Russian automation conference (RusAutoCon) (pp. 913–917). IEEE. https://doi.org/10.1109/RusAutoCon54946.2022.9896310

    Chapter  Google Scholar 

  • Soloveva, O., Solovev, S., Zaripova, R., Khamidullina, F., & Tyurina, M. (2021). Evaluation of the effective porosity of an open cell foam material for using in heat and mass transfer numerical simulations. In E3S web of conferences (Vol. 258, p. 11010). EDP Sciences. https://doi.org/10.1051/e3sconf/202125811010

    Chapter  Google Scholar 

  • Tyurina, M., Porunov, A., Nikitin, A., Zaripova, R., & Khamatgaleeva, G. (2022). Multichannel majority system for detection and prevention of emergency modes of gas pum** unit filters. In Proceedings of the international symposium on sustainable energy and power engineering 2021. SUSE 2021 (pp. 391–402). Lecture Notes in Mechanical Engineering. Springer. https://doi.org/10.1007/978-981-16-9376-2_37

    Chapter  Google Scholar 

  • Zaripova, R., Gaisin, I., Tyurina, M., Rocheva, O., & Kubyshkina, E. (2022). Information-measuring system for monitoring process water in power system heat supply structures. In Proceedings of the international symposium on sustainable energy and power engineering 2021. SUSE 2021 (pp. 319–327). Lecture Notes in Mechanical Engineering. Springer. https://doi.org/10.1007/978-981-16-9376-2_31

    Chapter  Google Scholar 

  • Zaripova, R., Nikitin, A., Hadiullina, Y., Pokaninova, E., & Kuznetsov, M. (2021). Vendor selection information system on the electronic trading platform for energy supply companies. In E3S web of conferences (Vol. 288, p. 01072). EDP Sciences. https://doi.org/10.1051/e3sconf/202128801072

    Chapter  Google Scholar 

  • Zaripova, R., Porunov, A., Zinurova, Z., Galyamov, R., & Stepanova, G. (2019). The role of practice-oriented education in the development of the country’s economy. In Proceedings of the “new silk road: Business cooperation and prospective of economic development”. NSRBCPED 2019 (pp. 663–667). Atlantis Press. https://doi.org/10.2991/aebmr.k.200324.123

    Chapter  Google Scholar 

  • Zaripova, R. S., Rocheva, O. A., & Garipova, G. R. (2022). Optimization of road traffic using simulation modeling. International Journal of Advanced Studies: Transport and Information Technologies, 12(3), 40–45.

    Google Scholar 

  • Zaripova, R. S., Saltanaeva, E. A., Bikeeva, N. G., & Priimak, E. V. (2019). Development of quality monitoring devices for industrial water in heat supply systems. IOP Conference Series: Earth and Environmental Science, 288(1), 012129.

    Google Scholar 

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Petrova, E.A., Filimonova, T.K., Ovseenko, G.A. (2024). Mathematical Modeling of Transportation Flows. In: Rumyantseva, A., Anyigba, H., Sintsova, E., Vasilenko, N.V. (eds) Finance, Economics, and Industry for Sustainable Development. ECOOP 1987. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-56380-5_31

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