Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study
Document Type
Article
Date of Original Version
6-22-2015
Abstract
Abstract Large-scale regional evacuation is an important part of national security emergency response plan. Large commercial shopping area, as the typical service system, its emergency evacuation is one of the hot research topics. A systematic methodology based on Cellular Automata with the Dynamic Floor Field and event driven model has been proposed, and the methodology has been examined within context of a case study involving the evacuation within a commercial shopping mall. Pedestrians walking is based on Cellular Automata and event driven model. In this paper, the event driven model is adopted to simulate the pedestrian movement patterns, the simulation process is divided into normal situation and emergency evacuation. The model is composed of four layers: environment layer, customer layer, clerk layer and trajectory layer. For the simulation of movement route of pedestrians, the model takes into account purchase intention of customers and density of pedestrians. Based on evacuation model of Cellular Automata with Dynamic Floor Field and event driven model, we can reflect behavior characteristics of customers and clerks at the situations of normal and emergency evacuation. The distribution of individual evacuation time as a function of initial positions and the dynamics of the evacuation process is studied. Our results indicate that the evacuation model using the combination of Cellular Automata with Dynamic Floor Field and event driven scheduling can be used to simulate the evacuation of pedestrian flows in indoor areas with complicated surroundings and to investigate the layout of shopping mall.
Publication Title, e.g., Journal
Physica A: Statistical Mechanics and its Applications
Volume
437
Citation/Publisher Attribution
Li, Jun, Siyao Fu, Haibo He, Hongfei Jia, Yanzhong Li, and Yi Guo. "Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study." Physica A: Statistical Mechanics and its Applications 437, (2015): 304-321. doi: 10.1016/j.physa.2015.05.098.