Signal control intersection queuing length estimation method based on single section low frequency detection data

Abstract

The invention relates to a signal control intersection queuing length estimation method based on single section low frequency detection data. The signal control intersection queuing length estimation method based on single section low frequency detection data is characterized in that: the signal control intersection queuing length estimation method based on single section low frequency detection data includes the following steps: S1, using a single section fixed point detector to perform data acquisition on a signal control intersection; S2, determining whether the queuing length in each observation time interval is greater than the length detection range of the detector; if so, utilizing the detection data being close to the observation time interval to correct the arrival flow data of the observation time interval, and if not, entering the step S3; S3, according to the signal timing data of the signal control intersection, performing time segmentation on the detection data to match the signal timing data with the detection data; and S4, calculating the wave velocity of each traffic wave in the signal control cycle, calculating the maximum queuing length and the residual queuing length in the signal control cycle, and then returning to the step S2 until the maximum queuing length and the residual queuing length in each signal control cycle are calculated completely. Compared with the prior art, the signal control intersection queuing length estimation method based on single section low frequency detection data has the advantages of high accuracy and low data requirement.

Description

technical field [0001] The invention relates to the field of traffic flow control, in particular to a method for estimating queue length at signal-controlled intersections based on single-section low-frequency detection data. Background technique [0002] Real-time and accurate traffic state estimation at signalized intersections can not only provide decision-making basis for traffic managers, but also have positive significance in reducing travel time and reducing traffic pollution. The queuing length is one of the important indicators to evaluate the traffic status and service level of signal-controlled intersections, and it is also an important parameter of signal control. [0003] In our country, the traffic state estimation of the ground roads in large cities is mainly based on floating car data. In most small and medium cities, the proportion of floating cars is insufficient (generally less than 5%), and the sampling frequency is low (mostly 1 / 60s -1 ) and other fact...

AI Technical Summary

Problems solved by technology

[0006] 1) It is difficult to reflect the real-time traffic characteristics by the 60s equal interval data, the arrival flow of each 60s interval output by the detector is static and discrete, while the actual arrival flow is dynamic and continuous;

[0007] 2) The distance between the detector and the stop line is relatively long, so that during the red light phase, there are still vehicles passing through the detector position, and the detector parameters are difficult to match with the signal timing data;

[0008] 3) When traffic congestion occurs, the queuing length of vehicles often exceeds that of the detector. At this time, the detection parameters of the detector cannot correctly reflect the real traffic demand, resulting in large errors in the data collected by fixed-point detectors on low-frequency road sections

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