Host: Japan Society for Fuzzy Theory and Intelligent Informatics
The traffic safety planning has received much attention in terms of reduction of danger in driving. The causality of the plural factors has to be clarified in the estimation of traffic accidents at the intersection. Simultaneously, the high estimation accuracy in the modeling is necessary. The model with fuzzy reasoning was introduced to the estimation of the number of traffic accident in the intersection. It concluded that time and spatial distribution of traffic accidents are determined quite accumulate. The parameter of membership function is optimized by learning with the neural-network and genetic algorithm.
