An intersection adaptive traffic signal control system based on electric police data and its working method

Abstract

The invention relates to the technical field of traffic signal control, and discloses an intersection adaptive traffic signal control system based on electric police data and a working method thereof. The present invention creates a data acquisition device with electronic police equipment generally arranged at intersections as a front-end data collection device, which can collect and buffer electric police data reflecting basic data such as intersection flow data, lane conditions at intersections, and phase allocation, and through multiplexing These electric police data realize the purpose of adaptive traffic signal control, not only can overcome the problems of difficult maintenance and serious data loss based on coil detectors in the prior art, but also improve the utilization rate of electronic police equipment and reduce the cost of equipment maintenance and management. In addition, it can also meet the dynamic control needs of various traffic conditions such as morning and evening peak hours, adapt to the ever-changing control needs of traffic flow, improve the traffic efficiency of intersections, have high economic and social benefits, and facilitate practical promotion and application .

Description

technical field [0001] The invention relates to the technical field of traffic signal control, in particular to an intersection adaptive traffic signal control system based on electric police data and a working method thereof. Background technique [0002] Traffic signal control is one of the important methods of urban traffic organization optimization, among which the traffic signal control of single intersection is the most widely used and the control strategy is the most mature and reliable. According to different control strategies, single-point control can be divided into timing control, induction control, intelligent control and adaptive control. Among them, timing control cannot adapt to rapid changes in traffic flow, has low operational flexibility, and requires manual judgment; induction control It is more suitable for intersections with low saturation and large differences in flow in each flow direction; although the control effect of intelligent control (including...

AI Technical Summary

Problems solved by technology

[0004] Existing self-adaptive traffic signal control methods use too many prediction methods to represent the demand of intersections, and the quality of the prediction results directly determines the self-adaptive control effect, and there is a lack of feedback to adjust the control scheme according to the traffic flow operation situation. process

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