Geomagnetic detection-based self-organizing intelligent signal control method

Abstract

The invention relates to a geomagnetic detection-based self-organizing intelligent signal control method. The method comprises the following steps that: (1) a vehicle detector detects the traffic flow of each driveway entrance of an intersection and uploads traffic flow data to a signal controller or a background in real time; and (2) the signal controller or the background calculates the average saturation X of each signal phase driveway of the intersection, and controls traffic lights according to the average saturation X. In the method, the vehicle detector detects the traffic flow and uploads the traffic flow information data to the signal controller, and the signal controller calculates the average saturation X of each signal phase driveway of the intersection and controls the traffic lights by adopting a corresponding control mode according to different average saturation X. The method fully utilizes the time of green light, and can effectively eliminates a green light emptiness phenomenon of the intersection and improve traffic efficiency.

Description

[0001] technical field [0002] The invention relates to an intelligent signal control method, in particular to a self-organized intelligent signal control method based on geomagnetic detection. [0003] Background technique [0004] At present, the most widely used intelligent signal control system in the world with relatively mature technology mainly includes SCOOT (Split Cycle Offset Optimizing Technique), Sydney Coordinated Adaptive Traffic System SCATS (Sydney Coordinated Adaptive Traffic System). ) and TRANSYT (Traffic Network Study Tool) and other systems. Among them, the phase of the SCOOT system cannot be automatically increased or decreased, and the phase sequence cannot be automatically changed. It is quite cumbersome to install and debug on site, and the control effect is not ideal for traffic conditions where the traffic volume is close to saturation or already saturated; the SCATS system does not have a real-time traffic model. Instead, signal control paramet...

AI Technical Summary

Problems solved by technology

Among them, the phase of the SCOOT system cannot be automatically increased or decreased, and the phase sequence cannot be automatically changed. It is quite cumbersome to install and debug on site, and the control effect is not ideal for traffic conditions where the traffic volume is close to saturation or already saturated; the SCATS system does not have a real-time traffic model. Instead, signal control parameters are selected from established schemes based on class saturation and comprehensive flow, which limits ...

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