Simulating the movement of the crowd in an environment using flocking

One aspect of the animation is how to model something similar to the original in the real world. Crowd behavior in accordance with the original in the real world can be shown to improve the quality of the animation itself has become a major trend in the world of cinema and gaming. In the present paper [1]. In the present paper in applying a multi robot system, flocking, swarming and obstacle avoidance. The results of the paper states that the algorithm used to ensure no collisions will occur among robots or with obstacles that exist. In Research [2], using the method for path planning (potential field)-based grid. this method can be used to simulate the movement of the human crowd simulation. Research results showed that in a variety of different populations contained in the mall made it out to the main door with no one left inside room. But the time it takes to be longer if the population is grows larger. And the time to arrive at the destination also depends on the initial velocity. With reference to previous studies of excess flocking algorithm, this paper will apply the algorithm to simulate the movement of crowds flocking people out onto the main targets with the aim to analyze the speed and level of time spent in the movement of the crowd in an environment. Simulation is applied using the python programming language and based on two dimensions.