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Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0

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.
- KR Mangalam University India
- Lomonosov Moscow State University Russian Federation
- GD Goenka University India
- GD Goenka University India
- Peter the Great St. Petersburg Polytechnic University Russian Federation
transportation, smart cities, Physiology, artificial intelligence, Microbiology, energy use, QR1-502, QL1-991, industry 5.0, QP1-981, waste management, public safety, Zoology
transportation, smart cities, Physiology, artificial intelligence, Microbiology, energy use, QR1-502, QL1-991, industry 5.0, QP1-981, waste management, public safety, Zoology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
