Traffic signal control method, apparatus, electronic device and computer readable storage medium

Abstract

The embodiments of the present invention disclose a traffic signal control method, a traffic signal control apparatus, an electronic device and a computer readable storage medium and belong to the field of intelligent traffic technologies. With the traffic signal control method, the traffic signal control apparatus, the electronic device and the computer readable storage medium adopted, traffic signal control accuracy can be improved. The traffic signal control method includes the following steps that: traffic parameters included in intersection road video stream data are extracted, and the phase dynamic weights of the phases of an intersection road are calculated according to the traffic parameters; the phase integrated weights of the corresponding phases are calculated according to the phase dynamic weights of the phases and obtained phase static weights; and green lamp lasting time of the corresponding phases is calculated according to acquired period durations and the phase integrated weights of the phases. The invention belongs to the traffic signal control.

Description

technical field [0001] The present invention relates to intelligent traffic technology, in particular to a traffic signal control method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Urban road intersections are the main objects of urban road traffic management and control. The control of traffic signals at urban road intersections plays an important role in the distribution of traffic flow and the optimization of road traffic. Among them, traffic lights are an important component of traffic signal control in urban traffic systems. It plays an irreplaceable role in ensuring traffic safety and regulating vehicle behavior. [0003] At present, traffic signal control mainly adopts single-point adaptive traffic signal control method, and its control parameters mainly come from non-video data sources, such as coils, geomagnetism, microwave, etc., and traffic parameters (traffic flow data) are obtained through control parameters....

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that due to the time-varying and diversity of the intersection state, as well as the rapid growth of the number of vehicles owned by the urban population and the continuous expansion of the city scale, the density of traffic flow is increasing. Some traffic signal control methods do not consider the influence of the characteristics of the intersection itself on signal control, resulting in low traffic signal control accuracy

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