Autonomous Vehicles for Enhancing Expressway Capacity: A Dynamic Perspective Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/su14095193
With rapidly developing communication and autonomous-driving technology, traffic flow on road networks will change from homogeneous human-driven vehicle (HDV) traffic flow to heterogeneous mixed traffic flow (MTF) comprising HDVs, autonomous vehicles (AVs), and connective-and-autonomous vehicles (CAVs). To understand the changes in the MTF of transportation engineering, we investigated the reserved capacity (RC) and right-of-way (ROW) reallocation policy that should be utilized under MTF scenarios. We established an MTF-based theoretical model to calculate the expressway segment capacity, theoretically analyzed the influence of the market penetration rate (MPR) on capacity and validated the model through numerical analysis. The results showed that the MPR of AVs and CAVs can enhance the MTF RC that is within 0–200% and that the platooning rate of CAVs positively influences the MTF RC. CAV popularization does not necessarily lead to a rapid increase in the transportation system efficiency when the MPR is <40% but significantly improves the efficiency of existing urban transportation facilities. When the MPR is >40%, the greatest enhancement is 4800 pcu/h/lane in terms of RC. A ROW reallocation policy that equips CAV-dedicated lanes according to the MPR of AVs and CAVs can enhance the capacity of expressway systems by 500 pcu/h/lane in terms of RC.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su14095193
- https://www.mdpi.com/2071-1050/14/9/5193/pdf?version=1650891740
- OA Status
- gold
- Cited By
- 4
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224444581
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224444581Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/su14095193Digital Object Identifier
- Title
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Autonomous Vehicles for Enhancing Expressway Capacity: A Dynamic PerspectiveWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-25Full publication date if available
- Authors
-
Congjian Liu, Fang-Kai Wang, Zhuangzhuang Wang, Tao Wang, Zehao JiangList of authors in order
- Landing page
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https://doi.org/10.3390/su14095193Publisher landing page
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https://www.mdpi.com/2071-1050/14/9/5193/pdf?version=1650891740Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2071-1050/14/9/5193/pdf?version=1650891740Direct OA link when available
- Concepts
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Homogeneous, Traffic flow (computer networking), Penetration rate, Computer science, Transport engineering, Automotive engineering, Engineering, Physics, Computer network, Geotechnical engineering, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Sustainability |
| primary_location.landing_page_url | https://doi.org/10.3390/su14095193 |
| publication_date | 2022-04-25 |
| publication_year | 2022 |
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| sustainable_development_goals[0].display_name | Sustainable cities and communities |
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