Мақола

Distribution of demand for transport using artificial intelligence methods

D.T. MuhamediyevaTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanB.N. SamijonovSejong University, South Korea, Seoul, KoreaAbdurashid SamijonovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanSh.B. BaxtiyorovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanK.V. AlimbayevTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan

E3S Web of Conferencesjournal2023en

ABI

Аннотация

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.

Ҳали таржима қилинмаган

Мавзулар

Transportation Systems and Logistics Economic and Technological Systems Analysis Transport and Logistics Innovations

Идентификаторлар

DOI: 10.1051/e3sconf/202345803010

Иқтибослар ва манбалар

0 та иқтибос12 та фойдаланилган манба

Кўрсаткичлар — AkademScholar