Effectiveness evaluation of connected and automated vehicles’ driving loop: Node weights and driving reliability Article Swipe
J. Yan
,
Daowen Zhang
,
Qinghua Luo
,
Jixiang Yang
,
Lei Xu
,
Hao Xu
,
Yihong Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0325837
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0325837
As an emerging development trend in the automotive industry, the construction of the network model and the effectiveness evaluation of the driving loop for Connected and Automated Vehicles (CAVs) are of significant importance. The objective of this paper is to construct a network model of the driving loop for CAVs and evaluate the effectiveness of the model, thereby optimizing system performance and enhancing driving safety and reliability. In this study, by integrating the driving process of CAVs and introducing the concept of the Observation, Orientation, Decision, and Action (OODA) loop, a network model of the driving loop for CAVs was established, enabling effective modeling of the complex driving process. For effectiveness evaluation, a method is proposed. This method measures the importance of nodes using the Interpretive Structural Model (ISM) and complex network theory, considers driving reliability through the fuzzy evaluation method, and comprehensively determines the node weights of the network model. Subsequently, by utilizing the node weights to enhance the information entropy model, a scientific evaluation of the CAVs’ driving loop effectiveness is achieved. Through comparisons and validations across several scenarios, it has been demonstrated that this method can be effectively applied to the planning, modeling, evaluation, and optimization of CAVs network models.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0325837
- OA Status
- gold
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411551926
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411551926Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0325837Digital Object Identifier
- Title
-
Effectiveness evaluation of connected and automated vehicles’ driving loop: Node weights and driving reliabilityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-23Full publication date if available
- Authors
-
J. Yan, Daowen Zhang, Qinghua Luo, Jixiang Yang, Lei Xu, Hao Xu, Yihong ZhangList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0325837Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.pone.0325837Direct OA link when available
- Concepts
-
Reliability (semiconductor), Computer science, Node (physics), Loop (graph theory), Automotive engineering, Reliability engineering, Physics, Engineering, Mathematics, Quantum mechanics, Power (physics), CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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22Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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