Vehicle formation control and signal optimization method under vehicle-road coordination environment

Abstract

The invention proposes an urban road trunk line coordination control and signal optimization method based on the characteristics of a vehicle-road coordination environment. The method comprises a trunk line road guide vehicle speed calculation method under the vehicle-road coordination environment, a vehicle formation method and an adaptive timing optimization method. The method comprises the steps that the influencing factors of the vehicle-road coordination environment on vehicles are determined; the vehicle flow rule and the running state of vehicles in trunk line coordination are analyzed;according to the signal cycle and the phase difference, speed guide of the head vehicle is carried out; the running mode of formation vehicles in trunk line coordination control is determined; and the signal timing of an intersection is optimized in real time through the vehicle formation information. On the premise that the traffic flow of a trunk line passes through the intersection without stop, the traffic capacity of other phases of the intersection is improved. Traffic jam is solved. The service level of a traffic system is improved.

Description

technical field [0001] The invention relates to the fields of intelligent transportation and vehicle-road coordination, and in particular to a control method for vehicle control and signal control at arterial coordinated intersections in a vehicle-road coordination environment. Background technique [0002] From the overview of arterial coordinated control methods at home and abroad, it can be seen that at present, the existing arterial coordinated control methods are basically partial optimization of traditional arterial coordination algorithms, that is, by assuming that the average speed of vehicles on the road section is known and fixed. Calculate the phase difference of the green wave band as the design vehicle speed. The phase difference and timing scheme calculated in this way are difficult to achieve the expected results. The fundamental reason is that the driving state of the main line traffic flow is random, which will be affected by the road state and the operating...

AI Technical Summary

Problems solved by technology

[0009] 1. In the current research on the control method of vehicle-road coordination, there are few algorithms related to the control method of arterial coordination, which is basically a single intersection signal control method under the environment of vehicle-road coordination

In addition, for the coordinated control method of the main line, the relationship between the vehicle driving state and the phase difference is rarely considered.

[0010] 2. Among the traffic control methods, there are few vehicle formation control methods in the vehicle-road collaborative environment, and the formation driving mode is not associated with signal optimization.

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