TRAFFIC MANAGEMENT WITH ARTIFICIAL INTELLIGENCE

Authors

  • Alpamis Kutlimuratov
  • Jamshid Khamzaev

Abstract

The increasing complexities in urban and suburban transportation systems necessitate smarter traffic management solutions. Artificial Intelligence (AI) emerges as a powerful tool to address this challenge, offering predictive analysis and real-time decision-making capabilities. This research paper delves into the application of AI in traffic management, examining its efficacy, potential benefits, and the challenges it presents.

References

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Alpamis Kutlimuratov, Jamshid Khamzaev, Dilnoza Gaybnazarova. (2023). THE PROCESS OF DEVELOPING PERSONALIZED TRAVEL RECOMMENDATIONS. https://doi.org/10.5281/zenodo.7858377

Published

2023-12-26

How to Cite

Alpamis Kutlimuratov, & Jamshid Khamzaev. (2023). TRAFFIC MANAGEMENT WITH ARTIFICIAL INTELLIGENCE. Лучшие интеллектуальные исследования, 11(1), 51–57. Retrieved from https://web-journal.ru/journal/article/view/2202