智能计算算法及智能城市应用综述

IF 7.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zhao Tong;Feng Ye;Ming Yan;Hong Liu;Sunitha Basodi
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引用次数: 49

摘要

随着人类社会的快速发展,世界人口的城市化也在快速发展。城市化给城市发展带来了许多挑战和问题。例如,城市人口压力过大,各种自然资源和能源日益稀缺,环境污染加剧等。然而,必须改变原有的城市模式,让人们生活在更绿色、更可持续的城市,从而为他们提供更方便、更舒适的生活环境。新的城市框架,即智慧城市,提供了应对这些挑战的绝佳机会,同时解决了城市问题。现阶段,许多国家都在积极响应制定智慧城市发展计划的呼吁。本文研究了智慧城市的发展现状。首先,介绍了智慧城市发展的背景,简要界定了智慧城市的概念。其次,根据给出的定义描述了智慧城市的框架。最后,讨论和分析了使城市更智能的各种智能算法,并给出了具体的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on algorithms for intelligent computing and smart city applications
With the rapid development of human society, the urbanization of the world's population is also progressing rapidly. Urbanization has brought many challenges and problems to the development of cities. For example, the urban population is under excessive pressure, various natural resources and energy are increasingly scarce, and environmental pollution is increasing, etc. However, the original urban model has to be changed to enable people to live in greener and more sustainable cities, thus providing them with a more convenient and comfortable living environment. The new urban framework, the smart city, provides excellent opportunities to meet these challenges, while solving urban problems at the same time. At this stage, many countries are actively responding to calls for smart city development plans. This paper investigates the current stage of the smart city. First, it introduces the background of smart city development and gives a brief definition of the concept of the smart city. Second, it describes the framework of a smart city in accordance with the given definition. Finally, various intelligent algorithms to make cities smarter, along with specific examples, are discussed and analyzed.
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来源期刊
Big Data Mining and Analytics
Big Data Mining and Analytics Computer Science-Computer Science Applications
CiteScore
20.90
自引率
2.20%
发文量
84
期刊介绍: Big Data Mining and Analytics, a publication by Tsinghua University Press, presents groundbreaking research in the field of big data research and its applications. This comprehensive book delves into the exploration and analysis of vast amounts of data from diverse sources to uncover hidden patterns, correlations, insights, and knowledge. Featuring the latest developments, research issues, and solutions, this book offers valuable insights into the world of big data. It provides a deep understanding of data mining techniques, data analytics, and their practical applications. Big Data Mining and Analytics has gained significant recognition and is indexed and abstracted in esteemed platforms such as ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, and more. With its wealth of information and its ability to transform the way we perceive and utilize data, this book is a must-read for researchers, professionals, and anyone interested in the field of big data analytics.
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