Applications of Artificial Intelligence and Machine learning in smart cities
By Zaib Ullah, F. Al-turjman, L. Mostarda, R. Gagliardi. Computer Communications, 2020
604 citations recorded by the source corpus.
Abstract Smart cities are aimed to efficiently manage growing urbanization, energy consumption, maintain a green environment, improve the economic and living standards of their citizens, and raise the people’s capabilities to efficiently use and adopt the modern information and communication technology (ICT). In the smart cities concept, ICT is playing a vital role in policy design, decision, implementation, and ultimate productive services. The primary objective of this review is to explore the role of artificial intelligence (AI), machine learning (ML), and deep reinforcement learning (DRL) in the evolution of smart cities. The preceding techniques are efficiently used to design optimal policy regarding various smart city-oriented complex problems. In this survey, we present in-depth details of the applications of the prior techniques in intelligent transportation systems (ITSs), cyber-security, energy-efficient utilization of smart grids (SGs), effective use of unmanned aerial vehicles (UAVs) to assure the best services of 5G and beyond 5G (B5G) communications, and smart health care system in a smart city. Finally, we present various research challenges and future research directions where the aforementioned techniques can play an outstanding role to realize the concept of a smart city.
Subfields: Building and Construction, Media Technology, Transportation
View Paper: https://www.semanticscholar.org/paper/2e8d3c3eaf763246578b67e521f6df3d26b291ca
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In Media Technology
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Ioanna D. Constantiou
- Laurie Hughes
- Babita Gupta
- Geoff Walsham
In Transportation
Citations in the corpus
- AI for Next Generation Computing: Emerging Trends and Future Directions (2022, neutral): “When it comes to the second type of solution, a variety of newly developing peer-to-peer approaches are now being employed to create massively scaled self-managing networks [18].”
- Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2023, background): “[14,72,77,78]).”
- Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023, background): “ML algorithms can be utilized in smart cities to examine data and create projections based on patterns and trends humans can discern [115].”
- IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare - A Review (2021, background): “[19] performed a review to evaluate the roles of artificial intelligence, machine learning and deep reinforcement learning in the evolution of smart cities.”
- Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022, background): “AI can operate with such technologies to enhance the usage of bandwidth and energy consumption to significantly reduce the carbon footprint of the telecom sector Ullah et al. (2020).”