Artery coordination signal control method based on dynamic O-D matrix estimation

Abstract

The invention discloses an artery coordination signal control method based on dynamic O-D matrix estimation. According to the method, road segment flow of the detecting of import approaches and export approaches of crossings of an artery is adopted, dynamic O-D matrixes of crossings are estimated by the adoption of a Kalman filtering and a back propagation neural network algorithm, a Bayes combination method is designed to improve accuracy and stability of the estimated result, a single-crossing multi-target signal control model is built on the basis of the estimated result, and the calculated maximum of crossing signal cycles is served as a public cycle of the artery. The artery coordination signal control method that the maximum of the obstructing-free rate of artery vehicles serves as the target function is further designed, the green split of all crossing artery directions and the phase difference of the adjacent crossings are acquired through solving, and an artery coordination signal control scheme is formed. The artery coordination signal control method based on dynamic O-D matrix estimation has the advantages that on the premise of guaranteeing the optimizing passing of the artery vehicles, the passing efficiency of all the single crossings is balanced, the problem that the control scheme can not be adjusted timely according to the traffic flow in the prior art is solved, advantages of being high in accuracy, online in application and the like are achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic control, and in particular relates to a method for controlling an arterial coordination signal based on dynamic O-D matrix estimation. Background technique [0002] As the core part of advanced traffic management system, real-time signal control system plays a vital role in alleviating urban traffic congestion. At the same time, because the control scheme of the real-time signal control system changes with time, it is necessary to use real-time traffic flow data as the basic data of the signal control scheme. As the basic unit of signal control, the real-time signal control of the intersection needs the dynamic flow of the entrance and exit of the intersection and the turning flow as input data. Under the condition of the existing flow detection system, the traffic flow of the intersection at each entrance and exit is easy to obtain , but real-time steering traffic cannot be detected....

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that in the prior art, different methods of intersection dynamic O-D matrix estimation have different disadvantages, such as large estimation deviation, poor stability or low efficiency; The signal control scheme cannot be adjusted in real time according to changes in tra

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