APPLICATION OF INTELLECTUAL SEARCH METHODS FOR SOFTWARE DETERMINATION OF PUBLIC TRANSPORT ROUTES

Authors

  • Ibragimov Ulugbek Muradilloyevich Associate professor in Asia international University

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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References

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Published

2025-12-11

How to Cite

APPLICATION OF INTELLECTUAL SEARCH METHODS FOR SOFTWARE DETERMINATION OF PUBLIC TRANSPORT ROUTES. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(11), 1109-1111. https://doi.org/10.55640/

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