Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method
Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method
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DOI：
10.1155/2023/5850876
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发表时间：
2023-03
影响因子：
2.3
通讯作者：
Yuezhao Yu;Chao Gou;Chen Xiong
中科院分区：
文献类型：
--
作者：
Yuezhao Yu;Chao Gou;Chen Xiong
新兴技术的进步和交通需求的增加加速了自动交通系统（ATS）的发展。自动测试系统的框架和体系结构已成为研究热点；然而，到目前为止，对交通代际划分的研究还很少。以往的研究表明，关键成分是长期时代区分的关键表征。此外，随着研究工作的不断深入，大量文本资料的积累，以及自然语言处理技术的不断发展，使得对代际划分中关键成分的定量化研究成为可能。本文提出了一种基于海量文本分析的方法。首先，LDA2vec用于获取组件和其他元素之间的关系。然后，根据组件项从组件词集提取模块中提取出一个词集。最后，对组件词集进行聚类，生成ATS，生成关键组件。基于对大型重要交通文本的分析，我们的方法将2010 - 2022年中国交通的交通系统划分为三代。我们给出的方法的关键部分与人类对ATS的认知是一致的。成功应用表明，该工作可推广到其他代际划分领域。
Advancement of emerging technologies and increasing of transport demands accelerate the evolution of the autonomous transportation system (ATS). Framework and architecture of ATS are becoming a research hotspot; however, by far, few studies on transportation intergeneration division are not basically involved. Previous works indicate that key components are critical representation in the distinguishing of long-term era. Besides, massive text material accumulates as the research work goes on, and natural language processing technique keeps developing, which makes quantitative research on key components in intergeneration division become possible. In this work, a method based on the massive text analysis is proposed. First, the LDA2vec is used to get the relationship between components and other elements. Then, a word set is from the component word set extraction module based on component items. Finally, the component word set is clustered to get ATS generation and to generate key components. Based on an analysis of large-scale important traffic texts, our method divides the traffic system into three generations for Chinese traffic from 2010 to 2022. The key components of our method given are consistent with human cognition of ATS. Successful application indicates that this work can be extended to other intergeneration division fields.