A Study On Artificial Intelligence In Smart Cities For On-Demand Vehicle Automation Systems

Authors

  • Qi Le Author
  • Noraisyah Tajudin Author

DOI:

https://doi.org/10.48047/xz8rd248

Keywords:

artificial intelligence, smart cities, intelligent transportation systems, autonomous vehicles, smart infrastructure.

Abstract

Urban planning is becoming much easier and more familiar because to ai.  Those who reside in cities are more likely to be prepared for future problems and to stay up with the newest innovations in problem-solving strategies compared to those who live in rural areas.  Experts anticipate that by the year 2050, metropolitan areas will be home to the vast majority of the global population.  Ensuring that public transport systems in metropolitan areas are not only reliable but also safe and easy to use is crucial.  Fifty research publications on urban mobility considering ai, the iot, and communication and information technologies make up this review.  In these pieces, we zero in on how these three disciplines meet.  The articles were published in a variety of journals between 2015 and 2024. Two of the most crucial considerations in selecting the papers were the presentation's clarity and the presenter's energy. Intelligent routing systems, prediction algorithms, and real-time traffic signal optimisation are the main focusses of this group's research.  The widespread use of autonomous vehicles has the potential to improve public transportation, lessen traffic congestion, and raise road safety standards.  Not only that, but this is demonstrated by a plethora of additional criteria that are not limited to those already mentioned. In order to address many problems, it is crucial to apply ai to smart cities and urban transportation.  Issues such as the digital divide across nations are examples of what this topic encompasses.

Downloads

Download data is not yet available.

References

Alahi, m. E. E., sukkuea, a., tina, f. W., nag, a., kurdthongmee, w., suwannarat, k., & mukhopadhyay, s. C. (2023). Integration of iot-enabled technologies and artificial intelligence (ai) for smart city scenario: recent advancements and future trends. Sensors, 23(11), 5206.

Chen, x., deng, y., ding, h., qu, g., zhang, h., li, p., & fang, y. (2024). Vehicle as a service (vaas): leverage vehicles to build service networks and capabilities for smart cities. Ieee communications surveys & tutorials, 26(3), 2048-2081.

Cirianni, f. M. M., comi, a., & quattrone, a. (2023). Mobility control centre and artificial intelligence for sustainable urban districts. Information, 14(10), 581.

Gheorghe, c., & soica, a. (2025). Revolutionizing urban mobility: a systematic review of ai, iot, and predictive analytics in adaptive traffic control systems for road networks. Electronics (2079-9292), 14(4).

Jagatheesaperumal, s. K., bibri, s. E., huang, j., rajapandian, j., & parthiban, b. (2024). Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety. Computational urban science, 4(1), 10.

Kannammal, a., & chandia, s. (2023). Applications of ai and iot for smart cities. In research trends in artificial intelligence: internet of things (pp. 186-202). Bentham science publishers.

Khaleel, m. M., abuali, m. M., & ahmed, a. B. (2025). Transforming urban mobility with ai: the future of smart cities. The open european journal of engineering and scientific research (oejesr), 1-11.

Kubik, a. (2023). The use of artificial intelligence in the assessment of user routes in shared mobility systems in smart cities. Smart cities, 6(4), 1858-1878.

Le, q. I., awang, d. N. A. B., & alagirisamy, d. M. (2024). Research on on-demand autonomous vehicle automation systems using ai-powered smart cities. Journal of management and architecture research, 6(01), 07-14.

Luxshi, k., rathnayaka, r. K. T., seneviratna, d. M. K. N., & kithulwatta, w. M. C. J. T. (2025). Artificial intelligence in smart cities and urban mobility: a systematic literature review. International journal of research in computing (ijrc), 4(ii), 25-35.

Mohsen, b. M. (2024). Ai-driven optimization of urban logistics in smart cities: integrating autonomous vehicles and iot for efficient delivery systems. Sustainability, 16(24), 11265.

Rosca, c. M., stancu, a., neculaiu, c. F., & gortoescu, i. A. (2024). Designing and implementing a public urban transport scheduling system based on artificial intelligence for smart cities. Applied sciences, 14(19), 8861.

Downloads

Published

2023-04-22

How to Cite

A Study On Artificial Intelligence In Smart Cities For On-Demand Vehicle Automation Systems (Q. Le & N. Tajudin , Trans.). (2023). Cuestiones De Fisioterapia, 52(3), 561-570. https://doi.org/10.48047/xz8rd248