Real-time traffic signal system control method and required green light time prediction method for group intersections

Abstract

The invention discloses a real-time traffic sign control method of a group intersection and a method for predicting green time needed for dredging a vehicle stream at the intersection. The methods comprise the following steps of: distinguishing main vehicle stream paths at the group intersection, configuring the time phases of the main vehicle stream paths according to vehicle stream paths; and then, by virtue of a contour principle, setting at least one vehicle detector on each main vehicle stream path to detect the vehicle stop waiting conditions of the main vehicle stream paths; furthermore, obtaining various impact waves according to the vehicle stop waiting time conditions; further, predicting the green time needed by each vehicle stream path by means of an impact wave principle; and finally, optimally distributing the predicted needed green time so as to obtain the balanced green time of each main path.

Description

technical field [0001] The present invention relates to a logical construction method of real-time traffic number system at group intersections, in particular to a method for controlling real-time traffic number system at group intersections which can be adapted to adjust the operation of traffic number system in real time and the green light required to ease the traffic flow at the intersection time prediction method. Background technique [0002] Today's urbanization is developing rapidly, and various urban construction, urban renewal and park establishment projects are constantly being introduced. These construction projects will create regional and overall social prosperity, but often make the transportation network more busy and complex. Therefore, how to establish an effective traffic number system logic to relieve the traffic problem of congested traffic at intersections is a very important issue in urban planning. [0003] To control the logic of traffic number sys...

AI Technical Summary

Problems solved by technology

However, the fixed time system cannot solve the problem of unstable traffic flow at intersections. Other real-time traffic control strategies can dynamically adjust the number system according to the traffic flow, but it relies on the traffic flow, speed and occupancy rate detected by the real-time detector. Traffic parameters, once the intersection is congested and the traffic flow is stop-and-go, the traffic flow and speed of most detectors cannot be reported correctly. This will result in poor accuracy of traffic flow prediction and inability to respond quickly, which will eventually lead to traffic congestion. Underperforming time slots

Furthermore, the cost of a detector with traffic, speed and occupancy is much higher than that of a detector that only outputs information about the presence or absence of vehicles

In addition, the general control strategy is to obtain the traffic flow profile of each road section, and at least one detector is often installed on each road section. If the number of intersections increases, the number of detectors will be quite large, and the construction cost will increase

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