Traffic control method and system based on intersection group

Abstract

The invention relates to a traffic control method and system based on an intersection group.The method comprises the steps that 1, 360-degree panoramic video of intersections is dynamically collected in real time through an intelligent robot, an intersection operation model is established according to video data, and traffic characteristics of the intersection group are analyzed according to the intersection operation model; 2, intersection index evaluation and online simulation analysis are conducted according to the traffic characteristics, and the traffic operation state of the intersection group is identified; 3, supersaturation state intersection signal timing control scheme optimization is conducted on critical paths of a supersaturation state intersection group, and a supersaturation state intersection group traffic signal control strategy is adjusted; 4, the adjusted intersection group traffic signal control strategy is operated, and steady-state operation of an intersection control signal timing optimization scheme and linkage command of the intelligent robot are achieved.By means of the traffic control method and system based on the intersection group, traffic efficiency and service level of intersection single point control can be improved, and therefore the operation efficiency of an urban traffic system is greatly improved, and urban traffic jams are relieved.

Description

technical field [0001] The invention belongs to the technical field of traffic control, in particular to a traffic control method and system based on intersection groups. Background technique [0002] Intersection group refers to the collection of several intersections in the urban road network that are geographically adjacent and have strong correlations. They have a significant impact on the traffic operation status of the road network and are the core nodes and keys of urban traffic congestion and traffic safety. The existence of intersection groups in the urban road network is divided into intersections in the city center area, intersections at both ends of tunnels in the city, intersections adjacent to overpasses, intersections between highway entrance and exit ramps and urban roads and streets, and urban expressways. Signals at exits and exits control intersections, etc. The intersection group constitutes the key traffic area of ​​the urban road network and is the key...

AI Technical Summary

Problems solved by technology

[0016] ① The coordinated control range of intersection groups fails to reflect the real-time dynamic changes of their traffic relevance; the existing research in the prior art has realized that the correlation characteristics of intersection groups are not only affected by the distance between intersections, but also related to the distribution characteristics of traffic flow, signal related to the traffic operation characteristics of intersection groups such as control schemes

In actual engineering operation, the scope of intersection group and traffic coordination control is dynamically changing, while the traditional method of determining the range of intersection group is not intelligent enough, only statically divided according to historical data, and does not consider the topology of the road network It is necessary to re-understand the correlation characteristics of intersection groups and the judgment of the range of intersection groups

[0017] ② It is difficult to identify the oversaturated state of the intersection group;

[0018] The traffic demand in the oversaturated intersection group is greater than its traffic capacity, and the queue at the intersection is too long or even overflows, so that the conventional traffic detection method cannot accurately detect real-time traffic operation data

Because the traffic control strategy in the supersaturated state is different from the traffic control strategy in the steady state, if the start time of the supersaturated state cannot be accurately identified, the application effect of the traffic control optimization algorithm will be affected

[0019] ③ There is a lack of methods for quantitatively analyzing the critical path in the supersaturated state;

[0020] Carrying out signal coordination control on the intersection group as a whole has gained the recognition and attention of scholars, but the existing traffic control strategies usually focus on global optimization or key intersection regulation, and the coordinated paths selected in the optimization process are generally manually specified, and there is no Able to carry out systematic research and application on the identification and classification of critical paths within the intersection group

[0021] ④ The traffic coordination control algorithm is not optimized according to the traffic characteristics of the oversaturated intersection group;

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