Intersection signal control parameter optimization method in man-machine mixed driving environment

A driving environment and signal control technology, applied in the field of traffic engineering, can solve problems such as intersection timing problems that are difficult to adapt to human-machine hybrid driving environment

Inactive Publication Date: 2020-05-01
HARBIN INST OF TECH
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AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing traffic signal optimization timing method is difficult to adapt to the intersection timing problem in the human-machine mixed driving environment, the present invention proposes a signal timing optimization method in the human-machine mixed driving environment

Method used

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  • Intersection signal control parameter optimization method in man-machine mixed driving environment
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  • Intersection signal control parameter optimization method in man-machine mixed driving environment

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Embodiment Construction

[0076] Taking the intersection as an example, it is assumed that the east-west and north-south entry and exit lanes are arranged symmetrically, with 6 lanes in both directions. Taking the east-west import as an example, the process of establishing the signal control scheme and signal timing parameters of the present invention is discussed in detail. The north-south import is the same as the east-west import.

[0077] Step 1. Obtain the vehicle traffic demand of each entrance and flow direction of the intersection in real time

[0078] At the end of the release of all phases in the north-south direction, collect the number of vehicles parked and queued in the manned lane, mixed driving lane, and unmanned lane in the east entrance left-turn traffic flow and straight traffic flow: 0, 30, 0, 26, 39, 0; In the left-turn traffic flow and straight-through traffic flow at the west entrance, the number of vehicles parked and queued in the manned lane, mixed driving lane, and unmanned ...

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Abstract

The present invention relates to an intersection signal control parameter optimization method in a man-machine mixed driving environment. The optimization method comprises the following steps of 1, collecting vehicle traffic demand data of vehicles in each entrance and flowing direction of an intersection; 2, establishing the function of each lane; 3, setting signal phase schemes in a control system; and 4, setting corresponding timing parameters according to the different signal phase schemes. Compared with a conventional timing, inductive and self-adaptive signal control method, the method provided by the invention can more effectively improve the utilization efficiency of the time and space resources of the intersection, the intersection traffic capacity can be improved by 30% -40%, andthe delay is reduced by about 40% under the same traffic demand.

Description

technical field [0001] The invention belongs to the field of traffic engineering, and in particular relates to an optimization method for intersection signal control parameters in a human-machine hybrid driving environment. Background technique [0002] With the gradual application and promotion of 5G communication technology around the world, as one of the important application scenarios, autonomous vehicles, will increasingly appear on the road. Academician Li Deyi, chairman of the Chinese Society for Artificial Intelligence, pointed out: "The transformation of automobiles to autonomous driving is a gradual process, and it will be a situation of human-machine hybrid driving for a long time in the future." At the same time, foreign studies have shown that applying control, sensing and communication technologies to highway automation of highway vehicles can improve road performance and increase road capacity by about 3 times. In the human-machine hybrid driving environment,...

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Application Information

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IPC IPC(8): G08G1/07G08G1/08
CPCG08G1/07G08G1/08
Inventor 蒋贤才尚庆鹏姚丽
Owner HARBIN INST OF TECH
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