A Data-Driven Control Design Approach for Freeway Traffic Ramp Metering with Virtual Reference Feedback Tuning | Zendy

Shangtai Jin | Zendy; Zhongsheng Hou | Zendy; Ronghu Chi | Zendy; Jiangen Hao | Zendy

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A Data-Driven Control Design Approach for Freeway Traffic Ramp Metering with Virtual Reference Feedback Tuning

Author(s) -

Shangtai Jin,

Zhongsheng Hou,

Ronghu Chi,

Jiangen Hao

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/936531

Subject(s) - metering mode , matlab , controller (irrigation) , control engineering , computer science , control (management) , engineering , simple (philosophy) , simulation , mechanical engineering , artificial intelligence , agronomy , biology , operating system , philosophy , epistemology

ALINEA is a simple, efficient, and easily implemented ramp metering strategy. Virtual reference feedback tuning (VRFT) is most suitable for many practical systems since it is a “one-shot” data-driven control design methodology. This paper presents an application of VRFT to a ramp metering problem of freeway traffic system. When there is not enough prior knowledge of the controlled system to select a proper parameter of ALINEA, the VRFT approach is used to optimize the ALINEA's parameter by only using a batch of input and output data collected from the freeway traffic system. The extensive simulations are built on both the macroscopic MATLAB platform and the microscopic PARAMICS platform to show the effectiveness and applicability of the proposed data-driven controller tuning approach

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