Intelligent traffic signal control system and method based on big data analysis

Through big data analysis and genetic algorithms, the traffic light signal cycle is optimized, and the problem of failure to consider node association relationships in traditional traffic signal control systems is solved, the global coordination of traffic flow and the avoidance of secondary congestion is achieved, and the traffic efficiency of the traffic network is improved.

CN120299271AInactive Publication Date: 2025-07-11ANHUI UNIVERSITY OF ARCHITECTURE
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Patent Information

Application Number
CN202510409388.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-02
Publication Date
2025-07-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional traffic signal control systems fail to effectively consider the dynamic correlation between nodes in the traffic network, resulting in local optimization that may cause secondary congestion in related sections or areas.

Method used

An intelligent traffic signal control system based on big data analysis is adopted, through the data acquisition module, congestion prediction module, strategy generation module and signal control module, the road network directed graph, LSTM time series model and genetic algorithm are used to predict traffic states and optimize traffic light signal cycles and time ratios to achieve global coordination of traffic flow.

Benefits of technology

It effectively avoids secondary congestion, improves the overall coordination of traffic signal control and the overall network traffic efficiency.

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Abstract

The invention discloses an intelligent traffic signal control system and method based on big data analysis, relates to the technical field of traffic control, and solves the problem that a traditional traffic signal control system mainly focuses on optimization of local traffic signals, neglects a dynamic association relationship among nodes in a traffic network, and is not easy to control. And secondary congestion of associated road sections or areas is easily caused. The method comprises the following steps: predicting traffic state data in a future time period based on current traffic road condition data, and calculating a first traffic congestion index of each intersection node in the future time period according to the traffic state data; determining a congested intersection node according to the first traffic congestion index, and obtaining an optimal traffic signal control strategy of the congested intersection node, thereby performing automatic traffic signal regulation and control on the congested intersection node; according to the invention, the traffic pressure of the congested road section can be relieved, and the problem of secondary congestion caused by optimization of the traffic signal control strategy can be avoided.
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