Intelligent traffic light control system and method based on dynamic and static recognition

By upgrading existing traffic signal controllers with an intelligent traffic light control system based on motion and stationary vehicle recognition, and using computer vision technology to identify the number of stationary vehicles and adjust the traffic light cycle, the high cost of intelligent transportation systems has been solved, achieving the effect of effectively alleviating traffic congestion and reducing costs.

CN121034104APending Publication Date: 2025-11-28CHENGDU UNIV OF INFORMATION TECH
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Patent Information

Application Number
CN202511118081.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-11
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

The high cost of existing intelligent transportation systems is a major technical problem hindering their widespread adoption.

Method used

By upgrading and installing an intelligent traffic light control system based on motion and static recognition on the basis of existing traffic signal controllers, computer vision technology is used to automatically identify and calculate the number of stationary vehicles in each direction at the target intersection, and control signals are generated according to the congestion situation to adjust the alternation cycle of traffic lights.

Benefits of technology

While ensuring a high recognition rate, it significantly reduces the cost of intelligent transportation systems, effectively alleviates traffic congestion, and improves the control accuracy and traffic efficiency of traffic light control systems.

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Abstract

The invention relates to the technical field of intelligent traffic, in particular to an intelligent traffic light control system and method based on dynamic and static recognition, and the system comprises at least one stopped vehicle recognition module, a data summarization module, a signal machine and a traffic signal lamp. Wherein the stopped vehicle identification module automatically identifies and calculates the number of static vehicles in each direction of a target intersection through a computer vision technology; the data summarization module determines the congestion condition of the target intersection according to the number of the static vehicles; a corresponding target control signal is sent to the signal machine according to the congestion condition of the target intersection; and the annunciator controls the alternating period of the traffic lights according to the target control signal. The system is simple in structure, can be upgraded, installed and used only on the basis of an existing signal machine, is simple and efficient in recognition algorithm, and reduces the cost of the intelligent traffic system under the condition of guaranteeing the high recognition rate.
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