Intelligent variable lane traffic flow control system based on big data and control method thereof

Abstract

The invention relates to the technical field of traffic flow control and discloses an intelligent variable lane traffic flow control system based on big data. The system comprises a wide-area radar detector, a variable lane indication board arranged behind a parking line, a traffic signal indication lamp arranged in front of the parking line, a cloud computing platform arranged in a control room and a terminal processor, a front-end indication board controller electrically connected with the variable lane indication board and a front-end signal indication lamp controller electrically connectedwith the traffic signal indication lamp. Meanwhile, the invention discloses an intelligent variable lane traffic flow control method. The method comprises the steps: controlling according to real-time data, controlling according to big data and directly editing and setting a control program. According to the system and the method disclosed in the invention, the traffic flow is reasonably shuntedthrough three control methods, and the control methods can be freely switched as required, so that the traffic flow control is not interfered by external environmental factors, and intersection traffic efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of traffic flow control, in particular to a big data-based intelligent variable lane vehicle flow control system and a control method thereof. Background technique [0002] The traditional traffic flow control is to control the traffic flow through traffic lights and timing variable signs. Since this control method cannot know the number of vehicles queuing up in the left, right or straight lanes in real time, it is easy for vehicles to appear in the morning and evening rush hours. Queuing problems, such as lanes with long queues are slower than lanes with short queues. After a vicious cycle of time, traffic jams and other problems are prone to occur. Therefore, intelligent variable lane signs have appeared on the market, such as application number: 201621061650.8 published An intelligent variable lane driving direction sign. This kind of intelligent variable lane sign monitors the vehicle queuing situation ...

AI Technical Summary

Problems solved by technology

[0002] The traditional traffic flow control is to control the traffic flow through traffic lights and timing variable signs. Since this control method cannot know the number of vehicles queuing up in the left, right or straight lanes in real time, it is easy for vehicles to appear in the morning and evening rush hours. Queuing problems, such as lanes with long queues are slower than lanes with short queues. After a vicious cycle of time, traffic jams and other problems are prone to occur. Therefore, intelligent variable lane signs have appeared on the market, such as application number: 201621061650.8 published An intelligent variable lane driving direction sign. This kind of intelligent variable lane sign monitors the vehicle queuing situation in real time through video vehicle detectors or radar detectors, and then transmits the data to the controller. The controller analyzes and compares the data Later, the intelligent control of variable lane signs was carried out. However, this type of control method still has certain defects. For example, the detection data is inaccurate and untimely due to the failure of the detector or due to the weather and road conditions of the day, which easily leads to traffic flow. Control failure, or even more serious traffic accidents

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