Inductive control method for multi-objective optimization under constraint of real-time queuing length of vehicles

Abstract

The invention discloses an inductive control method for multi-objective optimization under the constraint of real-time queuing length of vehicles. The inductive control method comprises the steps of 1) acquiring intersection traffic data in real time; 2) conducting data preprocessing; 3) establishing an optimization model by taking minimum total delay, minimum parking times and maximum traffic capacity as objectives; 4) carrying out model constraint condition determination and parameter calibration; and 5) obtaining a real-time optimization optimal period, and distributing the maximum green light time of an induction signal control model according to the real-time requirement of each phase. According to the method, under different traffic requirements, the built multi-objective optimization model can well improve the operation efficiency of the intersection, and the improvement effect is most obvious especially when the saturation degree is high. The proposed optimization model breaksthrough the limitation that the maximum green light time of a traditional induction signal is fixed, can better improve the control efficiency of induction signal control, better adapts to traffic changes of an intersection in different time periods, and meets the random changing traffic requirements.

Description

technical field [0001] The invention relates to traffic signal control technology, in particular to a multi-objective optimized induction control method under the constraint of real-time queuing length of vehicles. Background technique [0002] Transportation has always been an important part of human civilization. With the continuous development of social productivity, the role of transportation in the entire national economy is becoming more and more obvious. The quality of traffic conditions is related to the economic benefits of the entire society . The intersection is the key to urban traffic. Most of the daily traffic congestion is caused by the insufficient capacity of the intersection. The traffic operation status of urban road intersections is closely related to the traffic operation status of the entire city. The key to the traffic capacity of urban roads lies in the traffic capacity of intersections. If the intersection signal control system of the urban traffic ...

AI Technical Summary

Problems solved by technology

But in the actual intersection, the traffic flow is complicated, and the phase jump is easy to make pedestrians and drivers make wrong judgments and form a long wait. Obviously, this method is not suitable for actual signalized intersections

In the existing research on multi-objective optimal signal control, although the established models can better improve the traffic conditions at intersections, the models are static and fixed timing models, which do not consider the real-time changes in traffic flow and cannot satisfy Real-time changing traffic demand, and it does not belong to the category of induction signal control

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