Traffic signal light intelligent control system and control method thereof

Abstract

The invention relates to a traffic signal light intelligent control system and a control method thereof, which belong to the technical field of intelligent traffic; the system comprises four CCD camera heads, a signal processor and a controller; and the method comprises the following steps: establishing a coordinate system and the transformation relation thereof; sequentially carrying out distortion correction, sharpening and perspective transformation on a traffic flow image; extracting edges of a vehicle image and filtering out lane lines and traffic sign arrows in the image; cutting the image; carrying out edge projection for obtaining pixel coordinates which correspond to the queue length of vehicles waiting to pass on each type of lane in each direction under the computer image coordinate system; calculating the actual queue length of the vehicles waiting to pass; obtaining time required for leading all the vehicles on each type of the lane in each direction to pass; and controlling the opening and the closing of a traffic signal light according to the time of leading all the vehicles to pass. The traffic signal light intelligent control system can control the opening time and the closing time of the traffic signal light in a high-efficient and energy-saving manner, thereby providing a scientific information base for realizing the urban intelligent traffic.

Description

technical field [0001] The present invention relates to a device and method in the technical field of intelligent transportation, in particular to a traffic signal light intelligent control system and a control method thereof. Background technique [0002] As a high-tech means to solve urban traffic problems, intelligent transportation system has been paid more and more attention by people. However, it is not a simple technology to realize the intelligentization of traffic system. The key lies in how to obtain traffic information fully, effectively and in real time. [0003] Although there are various means and methods to obtain traffic information, for example, at present, the control methods of traffic lights in most cities in China basically use induction coils and other equipment to obtain road traffic information, but since such traffic volume detection equipment needs to be buried in the road Next, the original road surface must be destroyed during installation and ma...

AI Technical Summary

Problems solved by technology

But the shortcoming of this technology is: adopt the currently measured "passing time countdown to zero when there are still cars" as "increase the passing time value of this road next time", use the current measured "passing time countdown is not over, there is no traffic at this crossing". As the value of "reducing the passing time of the road next time", it lacks the basis of statistical characteristics, and the feasibility is poor. The traffic flow is a random variable. It is obviously meaningless to control the signal lights by the "travel time" at the previous moment; it is necessary to install special "vehicle detectors" on the road, which will inevitably increase equipment investment and maintenance costs, and there are also unfavorable factors for operational reliability.

However, the technical defect of this technology is: the current "traffic flow" data is used as the basis for "adjusting" the "signal delay time" at the next moment, and the collection samples required for statistics are also very single, and the basis for adjusting the "signal delay time" Insufficient; at the same time, due to the limitation of the "spatial angle" of the "diffuse reflection infrared sensor", it is impossible to accurately detect the queue length of vehicles waiting to pass, so it is ultimately impossible to accurately implement the passing time control of traffic lights

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