| Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 11 | |
| Section | Low Carbon Mobility and Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202345803010 | |
| Published online | 07 December 2023 | |
Distribution of demand for transport using artificial intelligence methods
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan
2 Sejong University, South Korea, Seoul, Korea
* Corresponding author: m_narzullo@mail.ru
Enhancing the caliber of efforts in advancing transportation infrastructure, re-evaluating antiquated standards during the integration of contemporary information and communication technologies, ameliorating benchmarks and quality to align with global standards, assuring the security, acceptance, dependability, and endurance of transportation services, refining infrastructure, implementing adaptable tariffs and initiating novel and promising routes, the digitalization of the transportation system, and satisfying the entire gamut of demands for urban passenger transportation necessitate a range of targeted activities. The article illustrates an analytical scrutiny of optimization approaches. The peculiarity of their utilization is expounded, along with their advantages and disadvantages.
© 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.
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