Intelligent traffic control system based on cloud platform and control method thereof

Abstract

The invention discloses an intelligent traffic control system based on a cloud platform and a control method thereof. The system comprises a cloud resource pool, intelligent annunciators and intelligent cameras. The cloud resource pool comprises a plurality of cloud platforms which are in communication connection with one another, each cloud platform is in communication connection with the plurality of intelligent annunciators and intelligent cameras, and the intelligent annunciators and the intelligent cameras are installed at the same intersection in a one-to-one correspondence mode; according to the intelligent traffic control system, all annunciators and cameras in a road are connected in a cloud architecture mode, intelligent traffic control over the urban road is facilitated, and thereliability and the working efficiency of the intelligent traffic control process are improved.

Description

Technical field [0001] The invention belongs to the technical field of intelligent traffic control, and specifically relates to an intelligent traffic control system based on a cloud platform and a control method thereof. Background technique [0002] With the development of the automobile industry, the penetration rate of automobiles has become higher and higher, and the urban traffic conditions have become more complicated with the car ownership rate. In order to ensure the normal operation of urban traffic conditions, real-time monitoring of different areas of the city is required. Traffic conditions are monitored and managed. At present, urban traffic management and traffic control problems such as urban road traffic safety, traffic congestion and traffic pollution emissions caused by factors such as urban road structure and traffic design, and the supply and demand relationship of the entire city, rely on the existing traffic management and signal control. The management mo...

AI Technical Summary

Problems solved by technology

[0003] (1) Insufficient reliability: In practical applications, long-term uninterrupted work is required, and certain measures are taken to ensure the flow field of the system operation process. Once the core control part of the intelligent traffic control system fails, the entire traffic control process will fall into a state of failure. paralysis;

[0004] (2) Information is not shared: Due to the different construction and development time of each traffic control system in each area of ​​the city and the difference in road construction planning, the traffic signal control systems in each area of ​​the city are diversified, and the system compatibility is poor, and the data communication method is not uniform. , it is difficult to realize the information sharing of traffic control signals in different areas, and it is not convenient for the overall management of traffic control signals;

[0005] (3) Insufficient flexibility: When the existing intelligent traffic control system controls the signal lights, it mostly works according to the established on-off time, but for some accident-prone road sections and road sections with large traffic flow changes, etc., signal lights The on and off of the road directly affects the traffic volume of the road section and then affects the urban road conditions. The current signal light control method does not take these emergencies into account, and it is difficult to flexibly adjust the state of the signal light according to the real-time road conditions;

[0006] (4) The intelligence of signal lights is poor: In the existing intelligent traffic control system, the signal lights work according to the set time, and all the signal lights are independent of each other and do not affect each other. The signal lights at the intersection will be affected, which will affect the traffic conditions of road vehicles, and the signal lights lack self-diagnosis function. When the signal machine at the intersection fails, it is difficult for the signal machine to classify the fault, and it is even more difficult to process the fault and upload it to the control system.

Images