IMPROVING DECISION-MAKING IN URBAN ECONOMY: SOLUTIONS BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Ermamatova Shokhsanam Ermamat kizi uzbek

Keywords:

Artificial intelligence, urban economics, decision making, machine learning, deep learning, data analytics, transportation system optimization, economic efficiency, urban infrastructure, digital transformation

Abstract

This article examines the possibilities of using artificial intelligence technologies to improve decision-making in the urban economy. According to the results of the study, decision-making systems based on AI allow to increase the accuracy of decisions by 22% and the speed of decision-making by 5-7 times. Practical tests conducted in the transport system of Tashkent confirm that they allow to reduce traffic congestion by 18% and increase the efficiency of public transport by 23%. The study shows that the economic efficiency of implementing AI systems is high, estimating the payback of investments in 2.7 years

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Published

2025-04-24

Issue

Vol. 2 No. 12 (2025): American Journal Of Advanced Scientific Research

Section

Articles