Using Cellular Automata to Model High Density Pedestrian Dynamics
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-50371-0_36
Reference11 articles.
1. Lecture Notes in Computer Science;G Bazior,2018
2. Burstedde, C., Klauck, K., Schadschneider, A., Zittartz, J.: Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Phys. A: Stat. Mech. Appl. 295(3–4), 507–525 (2001). https://doi.org/10.1016/S0378-4371(01)00141-8
3. Feliciani, C., Nishinari, K.: An improved cellular automata model to simulate the behavior of high density crowd and validation by experimental data. Phys. A: Stat. Mech. Appl. 451, 135–148 (2016). https://doi.org/10.1016/j.physa.2016.01.057 . http://www.sciencedirect.com/science/article/pii/S0378437116001047
4. Lecture Notes in Computer Science;TM Gwizdałła,2016
5. Ji, J., Lu, L., Jin, Z., Wei, S., Ni, L.: A cellular automata model for high-density crowd evacuation using triangle grids. Phys. A: Stat. Mech. Appl. 509, 1034–1045 (2018). https://doi.org/10.1016/j.physa.2018.06.055
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