Application of Irregular Fuzzy Cellular Automaton for ranking the road safety

As the complexity of the real-world problems increases, many of them can’t be modeled using current approaches. Therefore, to overcome the current challenges and deficits, new computational models should be constantly presented for solving mentioned problems. Many real-world problems are graph-like in nature, for which irregular cellular automaton (ICA) is a desirable tool. However, ICA is not able to represent the fuzzy concepts. To this end, in this paper, a new computational model called irregular fuzzy cellular automaton is proposed. To this end, the present paper introduces a new computational model, namely fuzzy irregular cellular automata. The proposed model is a combination of fuzzy cellular automata and irregular fuzzy cellular automata, with the aim to combine the advantages of the both models and to alleviate their disadvantages. The proposed model is then used for solving the real-world road safety ranking problem. The computer simulations are conducted to show the effectiveness of the proposed mode for rating different sections of roads. Experimental results showed that the proposed method could estimate the road safety problem with 75% accuracy.