Research on Joint Control of On-Ramp Metering and Mainline Speed Guidance in the Urban Expressway Based on MPC and Connected Vehicles

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作者
Wu, Lina [1 ,2 ]
Ci, Yusheng [3 ]
Sun, Yichen [3 ]
Qi, Wei [4 ]
机构
[1] School of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin,150050, China
[2] School of Transportation Science and Engineering, Beihang University, Beijing,100191, China
[3] School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin,150090, China
[4] School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan,230357, China
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The traffic operational efficiency of the urban expressway system will affect one of the entire cities. Moreover; the idea that traffic control can improve the traffic operational efficiency of the urban expressway system has been fully confirmed. At present; the main control methods include on-ramp metering and speed guidance control. However; there is a gap in using these two control methods together; such as unclear application conditions and unsystematic methods. In this paper; on-ramp metering and speed guidance control are combined effectively. Based on the research of METANET macroscopic traffic flow model and model predictive control (MPC); a novel joint control method based on MPC and connected vehicles (CVs) for on-ramp metering and speed guidance control of the urban expressway is proposed. Finally; the simulation results show that the proposed control method can effectively improve the traffic efficiency and traffic safety. © 2020 Lina Wu et al;
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