DEVELOPING ANDIJAN CITY PASSENGER TRANSPORTATION SYSTEM AND PROBLEMS IN IT
Keywords:
Andijan, passenger transport, urban mobility, traffic congestion, smart transport, public transportationAbstract
This paper explores the current state and development challenges of the passenger transportation system in Andijan city. It highlights issues such as traffic congestion, outdated infrastructure, insufficient public transport coverage, and rising demand due to population growth. The study analyzes urban mobility trends, public transport efficiency, and commuter behavior to identify core problems. Furthermore, it emphasizes the importance of modernizing transport networks through sustainable planning, technological integration, and policy reforms. The potential role of smart technologies, including AI-based systems, is also discussed as a means to optimize operations and improve service quality for residents of Andijan.
Downloads
References
A. Nair, K. R. See, and S. Chan, "Predictive analytics in public transport: Using AI to forecast passenger flow," IEEE Transactions on Big Data, vol. 7, no. 2, pp. 377–387, Jun. 2021.
M. Treiber and A. Kesting, Traffic Flow Dynamics: Data, Models and Simulation, Springer, 2013.
R. Bishop, "Intelligent vehicle applications worldwide," IEEE Intelligent Systems, vol. 15, no. 1, pp. 78–81, Jan.–Feb. 2000.
J. Zhang, Y. Liu, and Z. Wang, "AI-based optimization for urban bus scheduling under real-time demand," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2432–2443, Apr. 2021.
C. Wang and Y. Li, "Smart mobility and AI integration in urban transportation: A review," IEEE Access, vol. 9, pp. 112233–112245, 2021.
S. P. Hoogendoorn and P. H. L. Bovy, "State-of-the-art of vehicular traffic flow modeling," Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 215, no. 4, pp. 283–303, 2001.
A. Ghosh, R. Guha, and S. Banerjee, "AI-enabled traffic signal optimization in smart cities," IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1902–1911, Feb. 2021.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.