| Issue |
E3S Web of Conf.
Volume 365, 2023
IV International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2022)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 8 | |
| Section | Engineering Materials Science, Intelligent Transport Systems and Transport Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202336505003 | |
| Published online | 30 January 2023 | |
Fuzzy optimization of route networks urban passenger transport
1 "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University, Tashkent, Uzbekistan
2 Research Institute for the Development of Digital Technologies and Artificial Intelligence, Tashkent, Uzbekistan
* Corresponding author: dilnoz134@rambler.ru
The work aims to study methods for optimizing the route networks of urban passenger transport with fuzzy initial information since the process of passenger transportation in cities has many factors of uncertainty and stochasticity and is quite complex, including a whole range of initial data. Heuristic fuzzy optimization methods are proposed. The study's main result is the improvement of methods for optimizing the route networks of urban passenger transport. These methods today make it possible to take into account the opposing interests of the participants in the process of transporting passengers in the city, as well as to set a large set of initial parameters and restrictions for the mathematical model of optimizing the urban route network. A fuzzy transport problem has been solved, a computational experiment has been carried out, and results have been obtained to illustrate the proposed method. This method is easy to understand and apply to find the optimal solution in fuzzy transport models of real problems. An algorithm for finding L alternate routes and determining the ideal route for vehicle traffic control based on a graph database allows vehicle traffic control.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.