Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
|
---|---|---|
Article Number | 01063 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/bioconf/20248601063 | |
Published online | 12 January 2024 |
Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0
1 Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
2 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India, 248007
3 Lovely Professional University, Phagwara, Punjab, India
4 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, Russian Federation, Russia
5 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana, India
6 K R Mangalam University, Gurgaon, India
7 GD Goenka University, Sohna, Haryana, India
* Corresponding author: Author-sauravarambol@gmail.com
The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. The use of AI-powered smart traffic management yields a noteworthy 32.94% rise in traffic volume, signifying a noteworthy progression towards improved urban mobility. AI waste management optimization results in a 5.71% increase in collection efficiency, highlighting the importance of operational effectiveness and resource conservation. The control of energy use shows an 8.57% decrease, confirming AI's importance in sustainable energy practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These results highlight AI's revolutionary potential and establish smart cities as safe, secure, and sustainable urban environments.
Key words: artificial intelligence / smart cities / Industry 5.0 / waste management / transportation / energy use / public safety
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.