Network Evolution Analysis of Vehicle Road-Driving Behavior Strategies and Design of Information Guidance Algorithm Article Swipe
Tong Lyu
,
Lefeng Shi
,
Weijun He
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23919/jsc.2024.0002
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23919/jsc.2024.0002
By analyzing the influence of time and safety factors on the behavior strategies of vehicles on the road, a network game evolution model between drivers that considers the behavior strategies of the driving vehicle itself and its neighbors is constructed, and the competition relationship between different types of cars is studied. The influence of the proportion of driving vehicle types on the potential risk of the road is also discussed. This paper presents a guidance algorithm for vehicle dynamic behavior preference information. The correctness of the algorithm is verified by an example. Research shows: The choice of behavior strategies, such as speeding and lane changing, is related to the expected benefits of time, safety, and neighboring vehicle strategies, and the critical value of payable benefits is obtained. The higher the proportion of aggressive vehicles on the road, the greater the potential risk on the road. Whether there is a vehicle in the adjacent lane of the driving vehicle will affect the type of driving vehicle. Information guidance helps to stabilize the state of vehicles on the road, and the policy transition probability also helps stabilize the form of vehicles cars on the road. Still, information guidance has a more significant impact on the transition of vehicle types. Finally, the guidance strategy of managers is given when the road is smooth and congested.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23919/jsc.2024.0002
- https://ieeexplore.ieee.org/ielx7/8964404/10507872/10507880.pdf
- OA Status
- diamond
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395069520
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4395069520Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.23919/jsc.2024.0002Digital Object Identifier
- Title
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Network Evolution Analysis of Vehicle Road-Driving Behavior Strategies and Design of Information Guidance AlgorithmWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-01Full publication date if available
- Authors
-
Tong Lyu, Lefeng Shi, Weijun HeList of authors in order
- Landing page
-
https://doi.org/10.23919/jsc.2024.0002Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/8964404/10507872/10507880.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/8964404/10507872/10507880.pdfDirect OA link when available
- Concepts
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Computer science, Transport engineering, Algorithm, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.information. | 81 |
| abstract_inverted_index.relationship | 43 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.06058429 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |