Speed and harmony adaptive model predictive control method based on three-phase traffic flow state identification
By using three-phase traffic flow state identification and adaptive MPC control, the objective function and prediction step size are dynamically adjusted, solving the problem that existing methods cannot adapt to the control requirements of different traffic phases. This achieves accurate matching of traffic flow states and adaptation to control requirements, improving traffic efficiency and driving safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA HIGHWAY ENG CONSULTING GRP CO LTD
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing speed harmony control methods based on MPC cannot adapt to the management and control needs of different traffic phases in complex traffic scenarios, resulting in a tradeoff between traffic efficiency and safety.
A three-phase traffic flow state identification and adaptive model predictive control method is adopted. By combining ASDA and FOTO algorithms, traffic phases are identified in real time, and the MPC objective function and prediction step size are dynamically reconstructed to match the control requirements of different traffic phases.
It achieves accurate matching of traffic flow status and adaptation to control requirements, improving traffic efficiency and driving safety, and avoiding control failure and response lag caused by model bias in traditional methods.
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