Intelligent agent-based high-density crowd simulation method

Abstract

The invention provides an intelligent agent-based high-density crowd simulation method. The method mainly comprises the following steps of: constructing a three-circle human body models corresponding to pedestrians, wherein each of the three-circle human body models consists of three intersectant circles, the big circle in the middle represents the trunk and the two small circles on two sides represent the two shoulders; calculating a clear distance between the three-circle human body models corresponding to two pedestrians; and using the clear distance as the distance between the two pedestrians. Through the three-circle human body models, the unreality of bodies of pedestrians simulated by circular particles is skillfully solved on the premise of not increasing the algorithm complexity, and a foundation is laid for the calculation of pedestrian individual physical contact force in a crowd and the calculation of high density. According to the crowd density calculation method, the consideration of crowd density is refined from the point of view of individuals, and the subjective feeling, for the environment, of each pedestrian is described by a quantification method; and the method provides possibility for the calculation and analysis of the pedestrian individual physical contact force.

Description

technical field [0001] The invention relates to the technical field of pedestrian simulation models, in particular to an agent-based high-density crowd simulation method. Background technique [0002] With the gradual formation of the rail transit operation network in major cities, the network effect is becoming more and more obvious, the passenger flow has increased significantly, the subway stations are overcrowded, the service level is low, and there are great safety hazards. Therefore, it is necessary to study the congestion state during peak hours, the behavioral characteristics and stress state of pedestrians in urban rail transit stations, and use computer technology to develop a simulation model and implementation method for pedestrians in crowded stations. It is of great significance to provide the basis for the organization plan to ensure the safe operation of the station and the safety of passengers' lives and property. [0003] Currently, pedestrian simulation m...

AI Technical Summary

Problems solved by technology

Therefore, driving the walking behavior of pedestrians only with force will make the behavior state lack realism

In addition, pedestrian avoidance is not considered properly in the social force model of the scheme, and the autonomy and initiative of pedestrians are obviously ignored.

When a large number of pedestrians are moving, the social force and the direction of pedestrians have a certain angle due to the staggered positions, which can make pedestrians visually avoid behavior; but in special cases, such as two opposite pedestrians Walking in a straight line, the direction of social repulsion and the direction of motion are in a straight line. This scheme will cause pedestrians to collide repeatedly and cannot avoid normally.

Images