Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0
| Autor: | Natalia Taskaeva, Kumar Joshi Sanjeev, Dixit Saurav, Kanakadurga Bella H., Chandra Jena Prakash, Vyas Anjali |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BIO Web of Conferences, Vol 86, p 01063 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2117-4458 20248601 |
| DOI: | 10.1051/bioconf/20248601063 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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