Abstract
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.
Highlights
Liang [5] evaluated the expressway system under system control from the two dimensions of traffic efficiency and the environment through the METANET macroscopic traffic flow model and the comprehensive modal emission model (CMEM) vehicle emission model and optimized the parameters in the model
In the study of joint control of ramp and mainline speed guidance based on model predictive control (MPC) strategy, the prediction model is dominated by the METANET macro traffic flow model [8], but the ramp and mainline speed guidance control will affect the model to a certain extent, and the model needs to be made some detailed improvements
Based on the basic principle of traffic flow theory and the actual traffic conditions of the urban expressway bottleneck, the following constraints should be considered in the joint control model: the upstream traffic of the mainline is lower than the actual bottleneck capacity; the variation of the velocity guidance value in the adjacent interval of the same time and at the adjacent time of the same interval should be less than 10 km/h; the queue length of the ramp is less than the effective length of the ramp; the fluctuation of the merge rate is less than 15%, as shown in equations (19)–(23) [22,23,24]: λiρi− 1(k)vi− 1(k) ≤ qci ap, (19)
Summary
Most of the research on the coordinated control of the onramp and the mainline speed guidance is based on the METANET model of the expressway macro traffic flow model. In the study of joint control of ramp and mainline speed guidance based on MPC strategy, the prediction model is dominated by the METANET macro traffic flow model [8], but the ramp and mainline speed guidance control will affect the model to a certain extent, and the model needs to be made some detailed improvements. Is study will optimize the METANET macro traffic flow model, improve the adaptability of the model under the joint control of the ramp and the mainline speed guidance, and propose an MPC scheme based on this. Traffic safety will be considered together with the connected vehicles which were analyzed scarcely
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