Research on Generation Definition Method of Autonomous Transportation System Based on Key Traffic Components

Yu, Yuezhao; Gou, Chao; Chen, Xiong; Cai, Ming

doi:10.1061/9780784484265.052

Cited by 1 publication

(5 citation statements)

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“…After using KMeans [31] to cluster the word set, fnally, the generations and their features are generated. [2] demonstrate that component is the key element of ATS intergeneration division because the remaining four elements (technology, need, service, and function) are based on component as a carrier. Te objective in this subsection is to collect the texts for these four aspects and determine how they relate to each other and to components.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Te objective in this subsection is to collect the texts for these four aspects and determine how they relate to each other and to components. In order to obtain a complete intergeneration division, the granularity of data collection needs to be accurate to the year and calculate the relationships between the component and other elements for each year [2]. Additionally, it breaks down the ATS generation evaluation methodology into six indicators.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Zhang et al [13] propose to output element replacement through the evolution relationship between nodes and edges in a complex network of the ATS evolution model and then select a replacement as the criterion for intergeneration division. Yu et al [2] proposed an intergeneration division criterion of ATS based on key components and gave several indicators as references.…”

Section: Intergeneration Divisionmentioning

confidence: 99%

“…Autonomous transportation system (ATS) is a complex trafc system that focuses on future development direction in the intelligent trafc system (ITS) framework. According to the ATS theory, the trafc system consists of fve basic elements, namely, technology, need, service, function, and component [1,2]. As a stable framework, ATS unifes the interior and exterior of transportation system.…”

Section: Introductionmentioning

confidence: 99%

“…In order to solve the above problems, [2] we propose an ATS intergeneration division standard based on key components, which uses physical entities as a bridge to refect changes between generations. All elements depend on components for expression.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method

Gou

Xiong

2023

Journal of Advanced Transportation

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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.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Proposed Methodsmentioning

confidence: 99%