2022 Fiscal Year Final Research Report
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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| Keywords | Cyber-physical control / Connected vehicles / Optimal control / Cooperative Eco-driving |
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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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| Free Research Field |
Traffic and Transportation Control System
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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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