Signal control optimization objective switching system based on intersection average saturation

Abstract

The invention discloses a signal control optimization objective switching system based on intersection average saturation. The signal control optimization objective switching system comprises an intersection geometric information module, a real-time flow statistics module and a switching strategy module; the switching strategy module predicts the intersection saturation within a next period according to data recorded in the intersection geometric information module and the real-time flow statistics module, so that a decision is made for an optimization objective of city signal control. Throughthe average saturation index, the optimization objective of the system is defined, in this way, the optimization complexity of a signal control system can be effectively lowered, the optimization time consumed for reaching the optimal objective according to the signal control strategy is shortened, the optimization precision of the signal control system is improved, and then the operation efficiency of a city traffic system is improved.

Description

technical field [0001] The invention relates to an urban traffic signal control system, in particular to a signal control optimization target switching system based on the average saturation of an intersection. Background technique [0002] Urban signal control is a key factor in the efficiency of urban road network operation. In the past century, the development of urban traffic signal control system can be divided into four stages, the first stage is fixed signal control, the second stage is inductive signal control, and the third stage is dynamic adaptive signal control. The fourth stage is multi-system cooperative signal control under the framework of intelligent transportation system. At each stage, the urban signal control system always takes system optimization as the decision-making goal, and the most common optimization goals mainly include the goal of minimizing delay at intersections and the goal of maximizing intersection capacity. The signal control strategy w...

AI Technical Summary

Problems solved by technology

However, with the complexity of the algorithm and the continuous expansion of the urban road network, the complexity of the calculation increases exponentially. With the current computer efficiency, it is difficult to provide the optimal solution in a real-time environment.

In the current research, there is a lack of selection mechanism for optimization goals, indiscriminate optimization, lack of effectiveness

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