The Smart City Based on AI and Infrastructure

Mahor, Vinod; Bijrothiya, Sadhna; Mishra, Rina; Rawat, Romil; Soni, Alpesh

doi:10.1002/9781119871989.ch15

Cited by 17 publications

(4 citation statements)

References 51 publications

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“…As a consequence, we would have J ≤ −µJ + ρ∥d − d∥ 2 2 with µ = λ min (Q) λ max (P) if we had ϒ ≤ 0, Q > 0, ρ > 0. Since J (t N ) = 0, ∀t > t N , this further implies that…”

Section: B Proof Of Theoremmentioning

confidence: 99%

“…Deploying robotic vehicles that operate fully autonomously in inhabited areas, especially in apartment complexes, is a great potential step toward building a smart city [1], [2]. During operation, the presence of dynamic obstacles, such as pedestrians, other robots, and vehicles, within the environment, adds to the complexity as it constantly evolves over time, making the task of discovering efficient, collisionfree paths increasingly demanding [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

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Efficient Motion Planning With Minimax Objectives: Synergizing Interval Prediction and Tree-Based Planning

Vo,

Jung,

Kim

et al. 2024

IEEE Access

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Section: B Proof Of Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Motion Planning With Minimax Objectives: Synergizing Interval Prediction and Tree-Based Planning

Vo,

Jung,

Kim

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…It enables smart cities to analyze large datasets from various sources, such as traffic patterns, energy usage, and waste production, to identify trends and make data-driven decisions [19]. For instance, AI algorithms can predict peak energy demand times and adjust the supply accordingly, reducing waste and increasing efficiency [20]. In environmental monitoring, AI aids in detecting and managing pollution levels, contributing to healthier urban environments [21].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Roles, Future Impacts, and Strategic Integration of Artificial Intelligence in the Optimization of Smart City—From Systematic Literature Review to Conceptual Model

Alsabt,

Adenle,

Alshuwaikhat

2024

Sustainability

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Artificial Intelligence (AI) is one of the science fields with huge potential to create a cognitive and tech-leaping type of future smart city design/development. However, extant studies lag behind recent applications, potential growth areas, and the challenges associated with AI implementation. This study examines AI’s current role, trend, and future potential impacts in enhancing smart city drivers. The methodology entails conducting a Systematic Literature Review (SLR) of publications from 2022 onwards. The approach involves qualitative deductive coding methods, descriptive statistical analysis, and thematic analysis. The findings revealed the impacts of AI in (i) public services and connectivity, (ii) improving accessibility and efficiency, (iii) quality healthcare, (iv) education, and (v) public safety. Likewise, strategies, such as collaborative ecosystems, digital infrastructure, capacity building, and clear guidelines and ethical framework, were proposed for fostering the integration of AI in potential future smart cities. This research fills a notable gap in the current understanding of AI’s specific contributions to smart cities, offering insights for stakeholders in urban planning, computer science, sociology, economics, environmental science, and smart city initiatives. It serves as a strategic guideline and scholarly research output for enhancing smart city design. It also underscores the potential of AI in creating dynamic, sustainable, and efficient urban environments.

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“…Smart buildings and bridges are equipped with sensors that continuously monitor structural integrity, enabling real-time assessment and timely maintenance. The integration of IoT into city planning also extends to waste management, resulting in more efficient waste collection and recycling processes [12]. In the intricate tapestry of this research paper, we embark on an illuminating journey through the profound impacts of the Fourth Industrial Revolution upon the dynamic realm of the engineering industry.…”

Section: Introductionmentioning

confidence: 99%

Engineering's Next Leap: How Fourth Industrial Revolution is Shaping the Future of the Industry

Mohamed,

Ahmed Ibrahim,

Hamed

et al. 2024

ERU Research Journal

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The Fourth Industrial Revolution has triggered a significant transformation in engineering, and this review paper explores its multifaceted contributions. It delves into advanced design and manufacturing techniques that enhance efficiency and creativity. Additive manufacturing and the Industrial Internet of Things play pivotal roles in reducing waste and optimizing productivity. Sustainability takes center stage, with renewable energy and carbon capture technologies offering hope. Electric and autonomous vehicles reshape transportation, while smart cities redefine urban living. Challenges arise in the digitalization of engineering, necessitating adaptability, and ethical considerations. Despite these hurdles, the human spirit of innovation shines through. This review encapsulates the potential of Industry 4.0 in engineering, where boundaries blur, and engineering emerges as a harbinger of a brighter, more sustainable future. Readers are invited to explore this transformative journey, where engineering stands at the forefront of progress.

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The Smart City Based on AI and Infrastructure

Cited by 17 publications

References 51 publications

Efficient Motion Planning With Minimax Objectives: Synergizing Interval Prediction and Tree-Based Planning

Efficient Motion Planning With Minimax Objectives: Synergizing Interval Prediction and Tree-Based Planning

Exploring the Roles, Future Impacts, and Strategic Integration of Artificial Intelligence in the Optimization of Smart City—From Systematic Literature Review to Conceptual Model

Engineering's Next Leap: How Fourth Industrial Revolution is Shaping the Future of the Industry

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