APPLICATION OF INTELLECTUAL SEARCH METHODS FOR SOFTWARE DETERMINATION OF PUBLIC TRANSPORT ROUTES
DOI:
https://doi.org/10.55640/Keywords:
Public transport, Programmatic route planning, BigData, Artificial intelligence, A* algorithm, Passenger flow, Data analysis, Transport logistics.Abstract
This article highlights the importance of public transport route planning (PTP) technologies in improving the efficiency of modern urban transport. In conditions of increasing population density, the problems of proper planning and management of public transport traffic, in particular, inefficient route organization, remain a pressing issue. PTP allows for the formation of optimal routes by processing large amounts of data - information from GPS trackers, video surveillance systems, payment devices and mobile applications. As part of the research, a minimal data structure was created on the example of the city of Bukhara, which is expected to serve in the future to determine the most optimal routes for tourists using BigData technologies and the A* search algorithm. Data confidentiality and infrastructure constraints are also considered as important factors.
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1.R.A.Gulyaev, U.M.Ibragimov, X.B. Ismoyilov, Avtomatlashtirish elementlari – qishloq xo’jaligi sanoatini raqamlashtirishda yordamchilar sifatida. “Science and Education” Scientific Journal / Impact Factor 3.848. March 2023 / Volume 4 Issue 3. pp 282-287.
2.Rassel S., Norvig P. Sun`iy intellekt: zamonaviy yondashuv, 2-nashr.: ingliz tilidan tarjima. – M. : “Vilyams” nashriyot uyi, 2006. – 1408 b.
3.Intellektual tizimlar va texnologiyalar: Oliy kasbiy ta`lim muassasalari talabalari uchun darslik / B. Ya. Sovetov, V. V. Tsexanovskiy, V. D. Chertovskoy. – M. : “Akademiya” nashriyot uyi, 2013. — 320 b.
4.Ibragimov, U. (2025). Application of the harrington method in the food industry. Journal of Applied Science and Social Science, 1(3), 544–549.
5.Ibragimov Ulugbek Muradilloyevich. Integrating prometheus monitoring into the comparative framework of virtual machines and docker containers. Journal of applied science and social science. Volume 15 Issue 09, September 2025. P. 665-677.
6.Ibragimov Ulugbek Muradilloyevich. Rainbow table threat and defense mechanisms. Journal of applied science and social science. Volume 15 Issue 10, October 2025. P. 280-287.
7.Ibragimov Ulugbek Muradilloyevich. Analysis of linear, binary and interpolation search algorithms. Journal ofmultidisciplinary sciences and innovations. Volume 04 Issue 10, November 2025. P. 425-428.
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