Cellular automata simulation shopping mall traffic MATLAB code

Cellular automata simulation shopping mall traffic MATLAB code

With the rapid development of modern business, the flow of people in commercial places has become an important indicator. For shopping malls, understanding the changing trends and rules of the flow of people can help merchants make good operational decisions and improve revenue and customer experience. How to simulate the flow of people in shopping malls? This paper introduces a method based on Cellular Automaton and provides MATLAB code.

Cellular automata is a discrete system model that simulates the evolution process of the system by defining a set of rules and an initial state. In the simulation of the flow of people in shopping malls, each store or store can be regarded as a cell, and the interaction and evolution among all cells can more accurately reflect the distribution and changes of the flow of people. The model is divided into the following three steps:

1. Model initialization
First, it is necessary to determine the model's area size, number of shops and other parameters, and determine the initial state. Here, it can be randomly generated according to the actual situation, or manually specified according to the location and size of the store. Specify the number of people and the direction of movement on each cell, as well as other relevant information.

2. Definition of rules
The evolution process of shopping mall traffic is affected by many factors, such as population density, number and types of shops, corridor width, etc. Therefore, a set of rules needs to be defined to simulate these influencing factors and determine the state of the next evolution. Here is an example of a simple rule:

• If the crowd density on the current cell is higher than a certain threshold, move to the nearby empty cell;
• If there are other crowds on nearby cells, stay put.

3. Model evolution
According to the rule definition, carry out the model evolution process. For each moment, redistribute and adjust the flow of people in the shopping mall according to the rules until the steady state is reached or the preset simulation time is reached.

The MATLAB code is shown below, and the Mathtools toolkit needs to be installed before implementing the simulation.

clear all; clc;
%% 模型初始化
n = 50;   %