Distributed prediction control method for traffic road network based on region division

Abstract

The invention discloses a distributed prediction control method for a traffic road network based on region division. The method comprises the steps of: establishing a microscopic model of a single intersection of a transportation system; analyzing an associated topological structure of the plurality of intersections, and establishing a microscopic model of a single road segment; establishing a traffic road network model by taking an intersection as a basis, and performing distributed region division for the obtained traffic road network model; performing analysis of the distributed predictivecontrol structure for the traffic road network model after region division; and for the region division features of the traffic road network, performing coordination of a distributed controller for the traffic road network. The distributed prediction control is applied to the distributed collaborative optimization of an urban traffic system intersection, related theoretical achievements are applied in an urban intelligent traffic system to greatly improve the intelligent degree of the modern vehicles so as to effectively improve the active safety and the comfort of driving, facilitate improvement of the road utilization, save travel time and facilitate energy conservation and emission reduction.

Description

technical field [0001] The invention relates to the field of system modeling and control, in particular to a distributed predictive control method for a traffic road network based on area division. Background technique [0002] Regional coordinated control of the traffic road network is mainly aimed at the traffic flow control of the main roads in the city. The traffic conditions of the main roads undoubtedly have an important impact on the entire urban traffic. Alleviating traffic congestion on the main roads can also improve many roads near the main roads to a certain extent. traffic conditions. There are two main research directions for arterial coordinated control. One is to adjust the green light time of each intersection on the arterial road, so that vehicles can pass through as many intersections as possible when driving along the main road, and reduce the parking time; the other is to reduce the parking time. Vehicle delay time, shorten the queue length and other wa...

AI Technical Summary

Problems solved by technology

Regional traffic signal coordinated control technology develops rapidly and has strong demand, but it has not yet matured in my country, especially in the modeling and control methods of the traffic system. The network modeling method is not clear and perfect; 2) There is strong information coupling between intersections in complex traffic systems, and there is a lack of effective distributed optimization and coordination methods for signal light timing between intersections

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