Features of Microscopic Horizontal Transition of Cellular Automaton based Pedestrian Movement in Normal and Panic Situation
Keywords:Cellular Automata Model, Behavioral, Layout Design, Normal Situation, Panic Situation, Pedestrian Movement,
AbstractPedestrian movement in normal and panic situation has become the most outstanding research in this recent era for predictive aftermath outcome. The pedestrian movement usually will be in the self-organizing state that involves the microscopic movement based on the basic Cellular Automata (CA) model. However, during the simulation of pedestrian movement, there are several features that should be highlighted that will affect the movement speed and time. Hence, this preliminary research paper introduced the horizontal transition of microscopic movement with some features that create the closeness to the human behavior for the pedestrian simulation. This preliminary research introduced a simple case study on the closed area floor design and implemented some of the features discussed. The result showed that the behavior of the pedestrian is affected by their environment situation and the movement time of the pedestrian is determined by the number of obstacles in the grid cells of the spatial layout for collision avoidance.
Zong, X. and Y. Jiang. Pedestrian-vehicle mixed evacuation model based on multi-particle swarm optimization. in 2016 11th International Conference on Computer Science & Education (ICCSE). 2016.
Konstantara, K., et al. Parallel Implementation of a Cellular Automata- Based Model for Simulating Assisted Evacuation of Elderly People. in 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP). 2016.
Ruiz, S. and B. Hernández. A Parallel Solver for Markov Decision Process in Crowd Simulations. in 2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI). 2015.
Wang, H., et al. Simulation research based on evacuation ability estimation method. in 2016 12th World Congress on Intelligent Control and Automation (WCICA). 2016.
Hassan, F.H. Using microscopic pedestrian simulation statistics to find clogging regions. in 2016 SAI Computing Conference (SAI). 2016.
Miao, Q., Y. Lv, and F. Zhu. A cellular automata based evacuation model on GPU platform. in 2012 15th International IEEE Conference on Intelligent Transportation Systems. 2012.
Huixian, J. and Z. Shaoping. Navigation system design of fire disaster evacuation path in buildings based on mobile terminals. in 2016 11th International Conference on Computer Science & Education (ICCSE). 2016.
Sime, J.D., Crowd psychology and engineering. Safety Science, 1995. 21(1): p. 1-14.
Kihlstrom, J.F., The person-situation interaction. The Oxford handbook of social cognition, 2013: p. 786-805.
Yue, H., et al., Simulation of pedestrian flow on square lattice based on cellular automata model. Physica A: Statistical Mechanics and its Applications, 2007. 384(2): p. 567-588.
Lu, X., et al., Impacts of Anxiety in Building Fire and Smoke Evacuation: Modeling and Validation. IEEE Robotics and Automation Letters, 2017. 2(1): p. 255-260.
Was, J. Cellular automata model of pedestrian dynamics for normal and evacuation conditions. in 5th International Conference on Intelligent Systems Design and Applications (ISDA'05). 2005.
Tcheukam, A., B. Djehiche, and H. Tembine. Evacuation of multi-level building: Design, control and strategic flow. in 2016 35th Chinese Control Conference (CCC). 2016.
Helbing, D., I. Farkas, and T. Vicsek, Simulating dynamical features of escape panic. Nature, 2000. 407(6803): p. 487-490.
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