Signalized intersection lane green light loss time calculation method and system

Abstract

The invention relates to the technical field of urban road traffic signal control, and particularly discloses a signalized intersection lane green light loss time calculation method, which comprises the steps of generating release state information of a lane according to a corresponding relationship between intersection signal lamps and the lane; receiving release state information of each entrance lane, and sending the release state information to the data analysis unit in real time; detecting traffic flow operation information on an entrance lane of the current intersection in real time, andsending the traffic flow operation information to a data analysis unit; and calculating corresponding green light loss time in different traffic scenes by the data analysis unit according to the release state information and the traffic flow operation information of each entrance lane, and sending the green light loss time to the traffic signal control machine. The invention further discloses a system for calculating the green light loss time of the signal intersection lane. The signalized intersection lane green light loss time calculation method provided by the invention can accurately obtain the signalized intersection green light loss time, thereby providing data support for scientific evaluation of signalized intersection control benefits.

Description

technical field [0001] The present invention relates to the technical field of urban road traffic signal control, and more specifically, to a method and system for calculating the lost time of green lights at signalized intersection lanes. Background technique [0002] At urban signalized intersections, due to the improper setting of the signal timing scheme, vehicles cannot pass or the green lights are empty during the phase release period, which greatly wastes precious green light time. The entrance lane of the intersection is equipped with a detector to collect traffic flow data on the lane in real time, and the green light time of the signal phase is dynamically adjusted by means of induction control, which effectively reduces the green light loss time of the intersection signal light and improves the traffic efficiency of the intersection; green light Lost time, as an effective evaluation index, can directly reflect the utilization rate of signal phase green light time,...

AI Technical Summary

Problems solved by technology

[0002] At urban signalized intersections, due to the improper setting of the signal timing scheme, vehicles cannot pass or the green lights are empty during the phase release period, which greatly wastes precious green light time. The entrance lane of the intersection is equipped with a detector to collect traffic flow data on the lane in real time, and the green light time of the signal phase is dynamically adjusted by means of induction control, which effectively reduces the green light loss time of the intersection signal light and improves the traffic efficiency of the intersection; green light Lost time, as an effective evaluation index, can directly reflect the utilization rate of signal phase green light time, quantify the utilization balance of phase green light time, analyze the shortcomings and optimization potential of existing timing schemes, so as to improve the intersection traffic The purpose of efficiency; however, the existing green light lost time collection mainly relies on manual acquisition, the workload is heavy, the collection process is cumbersome, and it is difficult to guarantee the accuracy of the data

[0003] In the prior art, by obtaining the green light time of the signal phase in advance, and under the condition of ensuring pedestrians crossing the street safely, the empty time of the actual detector is compared with the preset maximum empty time, so as to obtain the lost time of the green light; this way It is only suitable for timing control, and when the intersection adopts induction control and adaptive control, the signal phase time is dynamically adjusted with the change of traffic flow, so it is impossible to predict the phase green light time in advance, and the existing technology does not consider the vehicle's long time The green light lost time caused by occupying the road section; therefore, the existing technology has low applicability in collecting the green light lost time under different signal control methods, and cannot meet the application requirements under the development of the existing intelligent transportation technology

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