The Application Fields of Cellular Automata

  • Xuewei Li
  • Jinpei Wu
  • Xueyan Li


Cellular automata theory is a kind of new ideas, different from the traditional thoughts and methods on treating system problems. For many problems that were difficult for traditional methods to find a solution, cellular automaton has made new progresses. For more than 20 years to date, a variety of applications based on the idea of cellular automaton has been booming, they can be roughly summarized as follows: ➀ Simulation of phenomena in the fields of physics and chemistry; ➁ modeling of biological organisms; ➂ high speed computing; ➃ image processing and pattern recognition; ➄ military combat simulation; ➅ simulation of the transportation, epidemics and stock investors’ behavior; ➆ applications in geographical and ecological areas such as land use scenarios, waste water, exhaust gas diffusion, as well as the dynamic changes of biological species.


  1. Chneckenreither, G, Popper, N., & Zauner, G. (2008). Modeling SIR-type epidemics by ODEs, PDEs, difference equations and cellular automata–A comparative study. Simulation Modeling Practice and Theory, 16(8), 1014–1023.CrossRefGoogle Scholar
  2. Gou, J., Zou, Q., & Wang, L. (2012). Analysis of teenagers’ traffic violation behavior based on behavioral theory for improvement plans. Journal of Beijing Jiaotong University, 11(3), 85–90.Google Scholar
  3. Hoya White, S., Martin Del Rey, A., & Rodri´guez Sa´nchez, G. (2007). Modeling epidemics using cellular automata. Applied Mathematics and Computation, 186(1), 193–202.CrossRefGoogle Scholar
  4. Jia, B., Gao, Z., Li, K., et al. (2007). Traffic system modeling and simulation based on cellular automata. Beijing: Science Press.Google Scholar
  5. Kong, X., Gao, Z., Li, K., et al. (2006). Single-lane cellular automata model considering the influences of the nearest neighboring vehicles and next to the nearest neighboring vehicles. Journal of Beijing Jiaotong University, Natural Science Section, 30(6), 11–15.Google Scholar
  6. Li, J. (2011). Option pricing model based on cellular automata. Journal of Wuyi University, 25(4), 50–56.Google Scholar
  7. Li, J. (2012). Study of the modeling of the financial market based on cellular automata. Beijing: Beijing Jiaotong University.Google Scholar
  8. Slimi, R., El Yacoubi, S., & Dumonteil, E. (2009). A cellular automata model forchagas disease. Applied Mathematical Modelling, 33(2), 1072–1085.CrossRefGoogle Scholar
  9. Yang, G. (2009). Quarantine control of the mathematical model of epidemic SIR. Journal of Biological Mathematics, 24(3), 479–483.Google Scholar
  10. Zhu, M. (2012). Analysis of the social economic influences of traffic congestion. Beijing: Beijing Jiaotong University. Google Scholar

Copyright information

© Beijing Jiaotong University Press and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beijing Union UniversityBeijingChina
  2. 2.Wuyi UniversityJiangmenChina
  3. 3.Beijing Jiaotong universityBeijingChina

Personalised recommendations