Urban area traffic signal control method based on short-time traffic flow prediction

Abstract

The invention belongs to the field of intelligent traffic and relates to an urban area traffic signal control method based on short-time traffic flow prediction. The method comprises the following steps of acquiring the traffic state information of each intersection and related lanes by using cameras configured at the intersections; detecting traffic data of the current period based on YOLOv4 video identification; establishing a ConvLSTM model based on historical data according to the flow at the previous moment, predicting the traffic condition of the region in the next period, and correcting and feeding back the traffic condition in real time; establishing a single-point intersection timing model according to the predicted flow data, and solving and optimizing timing; carrying out regional sub-region division on the intersection group according to the intersection association degree; the saturation degree of the intersection being judged by quantifying the effective green light time loss, a regional coordination control model being established, and the current scheme being optimized; a system interface program being written, function visualization being carried out, real-time feedback being obtained, and humanized management being achieved. According to the method, regional linkage control is realized, and accuracy and safety of regional intersection control are improved.

Description

technical field [0001] The invention relates to the fields of video recognition, deep learning and intelligent transportation, relates to a traffic signal control method in urban areas based on short-term traffic flow prediction, and is a regional signal coordination control method integrating identification, prediction, and timing optimization. Background technique [0002] my country's urban road network covers a wide range, and the operating environment is complex and changeable. With the rapid development of urban traffic, the number of motor vehicles has increased rapidly, and the incidence of traffic accidents has increased rapidly. The traffic congestion of urban roads has become a major constraint on the development of the national economy and society, resulting in countless losses. For urban roads, the problems are mainly concentrated in the regional intersections, therefore, how to improve the traffic capacity of regional intersections has become the primary proble...

AI Technical Summary

Problems solved by technology

[0003] At present, the signal timing system of the urban road network mostly adopts the method of time-segmented time allocation for traffic control. However, the traffic flow conditions at some urban intersections vary greatly, and unreasonable signal timing is difficult to maximize the use of traffic resources. Port capacity has a greater impact

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