2021
DOI: 10.1155/2021/1374186
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[Retracted] Traffic State Detection Based on Multidimensional Data Fusion System of Internet of Things

Abstract: In recent years, the rapid development of cloud computing, mobile Internet, Internet of Things, and other technologies has accelerated the explosive growth of the number and types of data in various industries. As one of the current hot research fields, the multidimensional data fusion system has received widespread attention all over the world. Road traffic and traffic management involve a wide range of participants; a variety of traffic behavior and traffic management means have produced a huge volume of tra… Show more

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Cited by 9 publications
(6 citation statements)
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“…Zhang et al said that BIM (Building Information Modeling) technology is emerging in the construction industry in China and abroad today, and it has become more and more popular and has been highly praised by many scholars and architects [1]. Sheng said that the idea of BIM began to take shape in the 1970s, and since then, BIM technology has been continuously developed in practical construction and theoretical applications and supplemented and defined in more detail [2].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Zhang et al said that BIM (Building Information Modeling) technology is emerging in the construction industry in China and abroad today, and it has become more and more popular and has been highly praised by many scholars and architects [1]. Sheng said that the idea of BIM began to take shape in the 1970s, and since then, BIM technology has been continuously developed in practical construction and theoretical applications and supplemented and defined in more detail [2].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In current practical applications, systematic clustering and K-means clustering are the two most widely used classes. It is to first treat each sample as a class, and then define the distance between classes systematic clustering, also known as hierarchical clustering, merges the smallest pair of distance between classes to form a new class, and then calculates the distance between the newly generated classes and other classes, merges the two closest classes, and repeats the merging, each time merging will Each time the merger is repeated, one class is reduced until finally all related classes are merged into one class [11]. K-mean clustering, on the other hand, views the data as points on a K-dimensional space, and uses distance as the criterion for cluster analysis, dividing the samples into specified K classes, i.e., the number of categories needs to be developed in advance.…”
Section: Consolidation Of Standard Cost Drivers For Grid Production A...mentioning
confidence: 99%
“…The comprehensive energy service market is characterized by a long industrial chain. From construction planning to investment and construction, as well as the supply of corresponding equipment and resources, and the management of the whole industrial chain, it is very difficult to realize vertical and integrated management [4]. Most service providers, including energy and power companies, Internet companies and equipment manufacturers, focus on single or several links in the industrial chain.…”
Section: Improve the Energy Industry Chain And Strengthen The Ability...mentioning
confidence: 99%