Trunk line intersection coordination control method based on track data

Abstract

The invention relates to a trunk line intersection coordination control method based on track data. The method comprises the following steps: acquiring vehicle operation data of a trunk line intersection, analyzing and obtaining a relationship between a vehicle track and a phase difference, considering an intersection queuing influence factor, establishing a phase difference optimization model taking minimum total delay of coordination traffic flow as a target, obtaining an optimal phase difference scheme, and realizing trunk line intersection coordination control according to the optimal phase difference scheme. Compared with the prior art, the method has the advantages that the cost is low, according to the invention, a trunk line coordination phase difference optimization model is established by using track data. The problems of low precision, insufficient space coverage and the like of fixed detection data in traffic signal control optimization are avoided; t. Te influence of the original queuing condition of the intersection on the coordination benefit is further considered, the actual operation condition of the whole trunk line traffic flow is better met, and compared with atraditional method, trunk line coordination traffic flow delay can be effectively reduced, and the trunk line coordination benefit is improved.

Description

technical field [0001] The invention relates to the field of coordinated control of arterial intersections and the application field of track data of floating vehicles, in particular to a method for coordinated control of arterial intersections based on track data. Background technique [0002] With the rapid growth of road traffic volume and the gradual increase of road network density in modern cities, the correlation between intersections is becoming more and more obvious, and the intersection control has gradually evolved from a single intersection to a control form that is interrelated. On the one hand, the coordinated control of the main line can make it easier for the traffic flow on the main line to form a convoy, so that the traffic flow can run smoothly. [0003] The current coordinated control system of urban traffic signals is mainly based on fixed detection data such as coils and geomagnetism. Fixed detection data belongs to "point" detection data, which can on...

AI Technical Summary

Problems solved by technology

However, the existing research is mainly based on fixed detection data or trajectory data to calculate the vehicle arrival distribution, travel time and other parameters, or to optimize the phase difference of the main line based on the simulation method. In essence, it is an indirect study of the vehicle driving process, and there are still some errors.

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