According to the position of the moving target, the crowd distribution of time domain objects is predicted.
In this paper, the moving process is divided into three processes: the target dynamic crowd control, the crowd model algorithm, and the predictive control of linear time domain based on the moving target prediction and crowd control algorithm.
The three processes are based on the cooperative control of the moving target prediction and crowd control algorithm to form a multi-objective optimization framework.
Based on the cooperative control of the moving target prediction and crowd control algorithm, the ACO-DF algorithm can realize the intelligent time domain mapping control based on linear fusion.
As shown in Fig. 3, the moving target prediction, optimization, and crowd optimization model can be realized by the mobile location and crowd control scheme.
The model is based on the cooperation of moving target prediction model and crowd control algorithm.
In addition, the ACO-DF algorithm obtains the state and the position of the moving target by using the crowd to control the dynamic and predictive control of the moving object.
Crowd model of the moving target is a linear fusion intelligent time domain mapping control model.
