Next generation traffic control system using the cyber-physical framework
| Project/Area Number |
20K04531
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 21040:Control and system engineering-related
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| Research Institution | Gunma University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | Cyber-physical control / Connected vehicles / Optimal control / Cooperative Eco-driving / ITS / Cyber-physical System / Traffic Control / Automated Driving / Cooperative AV / Cooperative Control / Road Transportation / Automated driving |
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| Outline of Research at the Start |
For the next generation road transportation systems, integrated-cooperative traffic and automated vehicle control schemes will be developed under a cyber-physical framework to maximize the level of services, energy efficiency, transportation performances, and user comforts in the future society.
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| Outline of Final Research Achievements |
A cyber-physical traffic control framework is proposed to optimize network traffic flexibly with heterogeneous vehicles considered multi-agent systems. The system's effectiveness is evaluated in critical scenarios in improving traffic capacity, flows, fuel consumption, and emissions. The developed multi-agent-based traffic signal optimization schemes with a receding horizon approach can flexibly coordinate any vehicles, considered physical agents on the roads with their twin modeled in cyberspace, for smooth flows at the intersections. With multiple international collaborations, we extended the proposed cyber-physical framework beyond the intersection's traffic. Specifically, we consider all major traffic problem scenarios, e.g., a roundabout, mandatory overtaking cases, and merging scenarios. Moreover, the most significant development is the look-ahead driving schemes that improve other vehicles' performances and overall road capacity.
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| Academic Significance and Societal Importance of the Research Achievements |
The significances are the theoretical development of cyber-physical traffic control framework, receding horizon optimization of multi-agent systems, and efficient look-ahead driving schemes, besides the expected improvement in future transport sustainability with enhanced safety and comforts.
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Report
(4 results)
Research Products
(32 results)
