Signal lamp control method, device and computer equipment

Abstract

The application discloses a signal lamp control method, device and computer equipment, and relates to the technical field of intelligent transportation. The specific implementation plan is: obtain the monitoring video of the intersection, determine the cycle of the control of the signal light at the intersection according to the signal light status presented by each frame image in the monitoring video and the acquisition time of each frame image, and obtain statistically based on each frame image collected in the same cycle According to the traffic index of the corresponding period, the signal lights at the intersection are controlled according to the traffic index. In this method, after the intersection signal light control period is determined, the intersection traffic indicators are periodically obtained to control the intersection signal lights according to the traffic indicators. Since the traffic indicators in the period can accurately reflect the intersection traffic conditions in the corresponding period, the intersection signal lights are controlled accordingly. The control scheme is more precise, and at the same time, the control signal lights based on the monitoring video of the intersection avoids the process of aligning the time stamp of the traffic signal machine with the time stamp of the camera in the related technology, which saves time to a certain extent.

Description

technical field [0001] The present application relates to the field of transportation, in particular to the technical field of intelligent transportation, and in particular, to a signal light control method, device, computer device, and a non-transitory computer-readable storage medium storing computer instructions. Background technique [0002] At current traffic road intersections, there are usually traffic lights and cameras that shoot traffic roads. Among them, the change of the traffic light is controlled by the traffic signal. [0003] Since traffic signals and cameras usually belong to different manufacturers and do not interact with each other, the clocks are difficult to align. Therefore, the timestamp of the traffic light signal output by the traffic signal may actually be aligned with the timestamp in the video captured by the camera. inaccurate situation. At this time, when using traffic light signals and video collected by cameras to calculate traffic data, th...

AI Technical Summary

Problems solved by technology

[0003] Because traffic signals and cameras usually belong to different manufacturers and do not interact with each other, it is difficult to align the clocks. Therefore, the time stamp of the traffic light signal output by the traffic signal will actually be aligned with the time stamp in the video captured by the camera. Inaccurate situation

At this time, when using traffic light signals and cameras to collect video for traffic data calculation, the results are usually inaccurate, especially in the control of intelligent traffic, which will further affect the design of subsequent solutions

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