A low-level control method for collaborative optimization of mixed traffic flows on expressways

Abstract

The invention relates to a bottom layer control method for synergistic optimization of mixed traffic flow confluence of expressways, and belongs to the field of traffic engineering. The method includes: determining a microscopic car-following model; predicting the initial trajectory of the vehicle; establishing a confluence model; formulating a collaborative control strategy set; judging whether the vehicle can successfully complete the confluence; If the judgment result is that the vehicle cannot successfully complete the confluence, it is necessary to further judge the specific situation of the vehicle during the confluence process, and make a corresponding cooperative control strategy accordingly; The driving trajectory of the target vehicle is optimized to obtain a coordinated optimal control strategy for the target vehicle, which is applied to the target vehicle to control the operation of the target vehicle. By means of the method of the invention, the vehicle can run smoothly at a higher speed, thereby improving the vehicle traffic capacity of the expressway ramp in the confluence area.

Description

technical field [0001] The invention relates to a low-level control method for synergistic optimization of mixed traffic flows on expressways, belonging to the field of traffic engineering. Background technique [0002] As a traffic demand input link of the entire expressway system, the on-ramp of the expressway is also a link that is prone to congestion, and is of great significance to the smooth and stable operation of the entire expressway system. With the emergence and development of intelligent networked vehicles, future highways will face traffic conditions where intelligent networked vehicles and traditional human-driven vehicles are mixed. Decision-making control in the mixed traffic flow environment of intelligent networked vehicles and traditional human-driven vehicles is a long-term realistic problem in future traffic travel. Therefore, it is of great significance to study the optimization control of freeway ramp merge under the environment of mixed traffic flow....

AI Technical Summary

Problems solved by technology

[0003] For the optimization control problem of expressway ramp cooperative merging, some model methods have been proposed, but the decision-making control methods studied at this stage are mostly decision-making methods for traffic environment design assuming that the penetration rate of autonomous vehicles is 100%, and only Discussed in a specific scenario, it fails to fully describe the combination and sorting scenarios of autonomous vehicles and human-driven vehicles and give the corresponding trajectory optimization scheme

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