特邀社论:智慧城市 2.0:人工智能和物联网如何改变城市生活

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2024-09-03 DOI:10.1049/smc2.12091
Zheng-Yi Chai, Syed Attique Shah, Dirk Draheim, Sufian Hameed, Muhammad Mazhar Ullah Rathore
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引用次数: 0

摘要

智慧城市的发展标志着全球城市生活的深刻转变,新技术提高了效率、可持续性和居民的生活质量。人工智能(AI)和物联网(IoT)是这一转变的前沿,推动城市进入创新的新时代。人工智能和物联网将设备和基础设施连接起来,使城市能够高效处理大量数据。这些技术已经彻底改变了日常生活的方方面面。例如,物联网为物流、医疗保健和汽车技术领域的智能系统提供了动力。顺应城市技术发展的趋势,本特刊旨在介绍最新进展,探讨将这些技术融入城市基础设施的机遇和挑战。它为政策制定者、城市规划者和利益相关者提供了有关这些创新如何塑造城市未来的重要见解。通过分享最佳实践,我们强调了人工智能和物联网在建设更智能、更可持续、更宜居城市方面的潜力。本期杂志强调了将这些技术融入城市规划和发展的重要性,使利益相关者有能力推动积极变革,建设具有复原力的城市社区。从空气质量预测到网络安全和数字孪生城市,这些研究展示了正在塑造全球智慧城市未来的各种应用。所有入选本特刊的论文都展示了人工智能和物联网技术在塑造智慧城市未来方面的多样化变革潜力。从利用先进的混合模型优化空气质量预测,到通过机器学习驱动的方法加强网络安全,每项研究都提出了独特的见解和实用的解决方案。此外,关于数字孪生城市、信息和通信技术接受模式以及基于艺术的干预措施的研究强调了智慧城市发展的跨学科性质,强调了社区参与和可持续城市规划。这些研究结果共同凸显了技术创新在促进城市环境的复原力、效率和包容性方面的关键作用。随着智慧城市的不断发展,本期介绍的经验和进展为决策者、城市规划者和研究人员提供了宝贵的指导,他们正努力在全球范围内建设更加智慧和宜居的城市。
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Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living

The evolution of smart cities marks a profound shift in urban life globally, where new technologies enhance efficiency, sustainability, and the quality of life for residents. At the forefront of this transformation are Artificial Intelligence (AI) and the Internet of Things (IoT), driving cities into a new era of innovation. AI and IoT connect devices and infrastructure, enabling cities to process vast amounts of data efficiently. These technologies have already revolutionised various aspects of daily life. IoT, for example, powers intelligent systems in logistics, healthcare, and automotive technology.

In line with the trend of advancing urban technologies, this Special Issue aims to present the latest advancements and explore the opportunities and challenges of integrating these technologies into city infrastructure. It provides policymakers, urban planners, and stakeholders with critical insights into how these innovations shape the future of our cities. By sharing best practices, we highlight the potential of AI and IoT to foster smarter, sustainable, and more liveable cities. This issue underscores the importance of integrating these technologies into city planning and development, empowering stakeholders to drive positive change and build resilient urban communities.

The issue contains a curated selection of five papers, each offering groundbreaking insights into how AI and IoT are revolutionising urban living. From air quality prediction to cybersecurity and digital twin cities, these studies showcase diverse applications that are shaping the future of smart cities worldwide.

All of the papers selected for this Special Issue showcase the diverse and transformative potential of AI and IoT technologies in shaping the future of smart cities. From optimising air quality prediction using advanced hybrid models to enhancing cybersecurity through machine learning-driven approaches, each study contributes unique insights and practical solutions. Additionally, research on digital twin cities, ICT acceptance models, and art-based interventions underscores the interdisciplinary nature of smart city development, emphasising community engagement and sustainable urban planning. These findings collectively highlight the pivotal role of technological innovation in fostering resilience, efficiency, and inclusivity within urban environments. As smart cities continue to evolve, the lessons and advancements presented in this issue provide valuable guidance for policymakers, urban planners, and researchers striving to build more intelligent and liveable cities worldwide.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living A hybrid attention‐based long short‐term memory fast model for thermal regulation of smart residential buildings A collaborative WSN‐IoT‐Animal for large‐scale data collection Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) Smart city fire surveillance: A deep state-space model with intelligent agents
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