There has been significant progress in modelling complex systems by using cellular automata (CA) [1, 2]; such complex systems include, for example vehicular traffic [3] and biological systems [4,5]. In most cases, particle-hopping CA models have been used to study the spatio-temporal organization in systems of interacting particles driven far from equilibrium [2,3]. In traffic systems, vehicles are represented by particles while their mutual influence is captured by the inter-particle interactions. Generically, these inter-particle interactions tend to hinder their motions which leads a monotonic decrease of the average speed as function of the particle density [6,7]. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Chowdhury, D., Nishinari, K., & Schadschneider, A. (2010). CA modeling of ant-traffic on trails. Understanding Complex Systems, 2010, 275–300. https://doi.org/10.1007/978-3-642-12203-3_12
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