Журнал «Информационные технологии и вычислительные системы» - T. M. Gataullin, E. S. Pleshakova, P. G. Bylevskiy, A. V. Osipov, S. T. Gataullin "Mathematical Modeling for Intelligent Transport Infrastructure Development"

EDN OYISFY

PP. 83-94.

References

1. Ouallane, A.A., Bahnasse, A., Bakali, A., Talea, M. Overview of Road Traffic Management Solutions based on IoT and AI // Procedia Computer Science. Vol. 198, 2022. P. 518 − 523. https://doi.org/10.1016/j.procs.2021.12.279.

2. Shamlitskiy, Y., Popov, A., Saidov, N., Moiseeva, K. Transport Stream Optimization Based on Neural Network Learning Algorithms (XIII International Conference on Transport Infrastructure: Territory Development and Sustainability) // Transportation Research Procedia. Vol. 68, 2023. P. 417 − 425. https://doi.org/10.1016/j.trpro.2023.02.056.

3. Degrande, T., Vannieuwenborg, F., Verbrugge, S., Colle, D. Deployment of Cooperative Intelligent Transport System infrastructure along highways: A bottom-up societal benefit analysis for Flanders // Transport Policy. Vol. 134, April 2023. P. 94-105. https://doi.org/10.1016/j.tranpol.2023.02.013

4. Korablev, V., Gugutishvili, D., Lepekhin A., Gerrits B. Developing a Traffic Management System Architecture Model // Transportation Research Procedia. Vol. 54, 2021. P. 918 − 926. https://doi.org/10.1016/j.trpro.2021.02.147

5. Bhouri, N., Aron, M., Lebacque, J. P, Haj-Salem, H. Effectiveness of travel time reliability indicators in the light of the assessment of dynamic managed lane strategy // Journal of Intelligent Transportation Systems. Vol. 21, Issue 6, 2017. P. 492−506. https://doi.org/10.1080/15472450.2017.1327815.

6. Wang, Z., Delahaye, D., Farges, J.-L., Alam S. Complexity optimal air traffic assignment in multi-layer transport network for Urban Air Mobility operations // Transportation Research Part C: Emerging Technologies. Vol. 142, September 2022, 103776. P. 1 − 23. https://doi.org/10.1016/j.trc.2022.103776.

7. Gorodokin, V., Zhankaziev, S., Shepeleva, E., Magdin, K., Evtyukov, S. Optimization of adaptive traffic light control modes based on machine vision (International conference of Arctic transport accessibility: networks and systems) // Transportation Research Procedia. Vol. 57, 2021. P.241−249. https://doi.org/10.1016/j.trpro.2021.09.047.

8. Glushkov, A., Shepelev V., Slobodin, I., Zhankaziev, S., Myachkov K. Construction of a System for Dynamic Monitoring of Pollutant Emissions by Transport Flows // Transportation Research Procedia. Vol. 68, 2023. P. 543 − 550. https://doi.org/10.1016/j.trpro.2023.02.074.

9. Tahaei, H., Afifi, F., Asemi, F., Zaki, F., Anuar, N. B. The rise of traffic classification in IoT networks: A survey // Journal of Network and Computer Applications. Vol. 154, 15 March 2020, 102538. P. 1 − 20. https://doi.org/10.1016/j.jnca.2020.102538.

10. Oumaima, E. J., Jalel, B. O., Veronique V. A stochastic mobility model for traffic forecasting in urban environments // Journal of Parallel and Distributed Computing. Vol. 165, July 2022. P. 142 − 155. https://doi.org/10.1016/j.jpdc.2022.03.005.

11. Ibili, F., Owolabi A. O., Ackaah, W., Massaquoi, A. B. Statistical modelling for urban roads traffic noise levels // Scientific African. Vol. 15, March 2022, e01131. P. 1 − 9. https://doi.org/10.1016/j.sciaf.2022.e01131.

12. Rosero, F., Fonseca, N., Mera, Z., López, J.-M. Assessing on-road emissions from urban buses in different traffic congestion scenarios by integrating real-world driving, traffic, and emissions data // Science of The Total Environment. Vol. 863, 10 March 2023, 161002. P. 1 − 17.

13. Harrou, F., Zeroual, A., Hittawe, M. M., Sun, Y. Chapter 2 − Road traffic modeling // Road Traffic Modeling and Management. Using Statistical Monitoring and Deep Learning. 2022. P. 15 − 63. https://doi.org/10.1016/B978-0-12-823432-7.00007-0.

14. Guchenko, M., Sokhin, N., Skalsky, A., Bartuška, L., Čejka., J. Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting // Transportation Research Procedia. Vol. 44, 2020. P. 78 − 85. https://doi.org/10.1016/j.trpro.2020.02.012.

15. Glushkov, A., Shepelev, V., Vorobyev, F., Mavrin, A., Marusin, A., Evtykov, A. Analysis of the intersection throughput at changes in the traffic flow structure // Transportation Research Procedia. Vol. 57, 2021. P. 192 − 199. https://doi.org/10.1016/j.trpro.2021.09.042.

16. Abbracciavento, F., Zinnari, F., Formentin, S., Bianchessi, A. G., Savaresi, S. M. Multi-intersection traffic signal control: A decentralized MPC-based approach // IFAC Journal of Systems and Control. Vol. 23, March 2023, 100214. P. 1−10. https://doi.org/10.1016/j.ifacsc.2022.100214.

17. Rudskoy, A., Ilin, I., Prokhorov, F. Digital Twins in the Intelligent Transport Systems // Transportation Research Procedia. Vol.54, 2021. P. 927 − 935. https://doi.org/10.1016/j.trpro.2021.02.152.

18. Castaneda, K., Sanchez, O., Herrera, R. F., Pellicer, E., Porras H. BIM-based traffic analysis and simulation at road intersection design // Automation in Construction. Vol. 131, November 2021, 103911. P. 1 − 14. https://doi.org/10.1016/j.autcon.2021.103911.

19. Lu, X., Wang, H. Z. J., Zhang, M., Zhou, C., Zhang, H. Modeling impacts of the tunnel section on the mixed traffic flow: A case study of Jiaodong’ao Tunnel in China // Physica A: Statistical Mechanics and its Applications. Vol. 603, 1 October 2022, 127840. P. 1 − 18. https://doi.org/10.1016/j.physa.2022.127840.

20. Mfenjou, M. L., Ari, A. A. A., Abdou, W., Spies, F., Kolyang. Methodology and trends for an intelligent transport system in developing countries // Sustainable Computing: Informatics and Systems. Vol. 19, September 2018. P. 96 − 111. https://doi.org/10.1016/j.suscom.2018.08.002.

21. Jena, S., Patro S., Dutta M., Bhuyan, P.K. Assessment of service quality at unsignalized intersections using traffic simulation and computational intelligence // Transportation Letters. Vol. 14, Iss. 4, May 2022, P. 365 − 377. https://doi.org/10.1080/19427867.2020.1868179.

22. Osipov, A.; Pleshakova, E.; Gataullin, S.; Korchagin, S.; Ivanov, M.; Finogeev, A.; Yadav, V. Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions. Sustainability 2022, 14, 2420. https://doi.org/10.3390/su14042420.

23. Spirin, I.V. Organization and management of passenger road transport. In Transportation Organization and Transport Management; Academy: Moscow, Russia, 2005; p. 396.

24. Borel E., Sur l'emploi du Théorème de Bernoulli pour Faciliter le Calcul d'un Infinité de Coefficients, Application au Probleme de L' attente a un Guichet, Compt. rend. acad. sci. Paris, 214, 452-456 (1942)

25. Saaty, Thomas L. Elements of queueing theory: with applications. Vol. 34203. New York: McGraw-Hill, 1961.

26. Haight, Frank A. Mathematical theories of traffic flow. 1965.

27. Ivanyuk, V. Forecasting of digital financial crimes in Russia based on machine learning methods. J Comput Virol Hack Tech (2023). https://doi.org/10.1007/s11416-023-00480-3.

28. Stack Exchange Network [Electronic resource]:Mathematics\\ https://math.stackexchange.com/questions/1332413/comparing-two-exponential-random- variables( accessdate 07/31/2023).