Open Access
Issue
E3S Web Conf.
Volume 403, 2023
XII International Scientific and Practical Forum “Environmentally Sustainable Cities and Settlements: Problems and Solutions” (ESCP-2023)
Article Number 07012
Number of page(s) 8
Section Sustainable Development of Transport Infrastructure in the Conditions of Ensuring Environmental Safety of the City
DOI https://doi.org/10.1051/e3sconf/202340307012
Published online 25 July 2023
  1. S.V. Kushchenko, Improving the efficiency of traffic management by modeling traffic flows. Thesis (Belgorod, 2012) [Google Scholar]
  2. G.A. Galchenko, S.G. Kuren, Modeling of traffic flows and environmental pollution of the metropolis. Monograph (Pero, Moscow, 2020) [Google Scholar]
  3. W. Tian, J. Ma, L. Qiu, X. Wang, Z. Lin, C. Luo, Y. Li, Y. Fang, The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network, Energies, 16(7), 3108 (2023) https://doi.org/10.3390/en16073108 [CrossRef] [Google Scholar]
  4. M. Anjum, S. Shahab, G. Dimitrakopoulos, H.F. Guye, An In-Vehicle Behaviour-Based Response Model for Traffic Monitoring and Driving Assistance in the Context of Smart Cities, Electronics, 12(7), 1644 (2023) https://doi.org/10.3390/electronics12071644 [CrossRef] [Google Scholar]
  5. V.A. Solovyov, Modeling and optimization of traffic management in the network of a large city. Thesis (Tyumen, 2013) [Google Scholar]
  6. M. Logachev, A. Tkachev, I. Nikishina, Agent-based intersection modelling of traffic and pedestrian flows, E3S Web of Conferences, 363, 02036 (2022) https://doi.org/10.1051/e3sconf/202236302036 [CrossRef] [EDP Sciences] [Google Scholar]
  7. N.I. Nikitina, E.Y. Romanova, T.V. Vasilyeva, I.N. Nikishina, V.M. Grebennikova, Characteristics of the process of culture development project activities (culture of social engineering) at the future bachelors of social work, European Journal of Contemporary Education, 64–76 (2017) [Google Scholar]
  8. M. Logachev, V. Chernova, Y. Laamarti, T. Makhamatov, V. Ivlev, L. Giulodori, I. Tutkova, Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling, International Journal of Instruction, 15(3), 153–170 (2022) https://doi.org/10.29333/iji.2022.1539a [CrossRef] [Google Scholar]
  9. M.N. Smirnova, A.I. Bogdanova, Z.J. Zhu, A.S. Manenkova, N.N. Smirnov, Mathematical model of traffic flows with elements of viscoelasticity, Mathematical Modeling, 7(26), 54–64 (2014) [Google Scholar]
  10. N.А. Naumova, L.M. Danovich, V.N. Savin, I.N. Bulatnikova, I.A. Kruglova, Mathematical model of traffic flow on the road network, University Gazette. North Caucasian region. Series: Technical Sciences, 5, 3–5 (2009) [Google Scholar]
  11. M.S. Logachev, N.A. Orekhovskaya, T.N. Seregina, S. Shishov, S.F. Volvak, Information system for monitoring and managing the quality of educational programs, Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 93 (2021) https://doi.org/10.3390/JOITMC7010093 [CrossRef] [Google Scholar]
  12. B. Li, J. Xiong, F. Wan, C. Wang, D. Wang, Incorporating Multivariate Auxiliary Information for Traffic Prediction on Highways. Sensors, 23(7), 3631 (2023) https://doi.org/10.3390/s23073631 [CrossRef] [PubMed] [Google Scholar]
  13. V. Chernova, Yu. Laamarti, A. Kolodochkin, Intersection capacity management: simulation model process diagrams, E3S Web of Conferences, 363, 02042 (2022) https://doi.org/10.1051/e3sconf/202236302042 [CrossRef] [EDP Sciences] [Google Scholar]
  14. A.Yu. Krylatov, Mathematical modeling of the distribution of traffic flows. Dissertation abstract (St. Petersburg, 2014) [Google Scholar]
  15. X. Chen, Z. Wu, Y. Liang, Modeling Mixed Traffic Flow with Connected Autonomous Vehicles and Human-Driven Vehicles in Off-Ramp Diverging Areas. Sustainability, 15(7), 5651 (2023) https://doi.org/10.3390/su15075651 [CrossRef] [Google Scholar]

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