Developing adaptive driving route guidance systems based on fuzzy neural network

摘要: With the advent of communication and information technologies, much about route conditions driver behaviours can be acquired by mobile devices used to guide drivers while driving vehicles destination. However, even though with same starting destination points, different typically do not go through path as they make choices routes based on attributes weighting attributes. Driving guidance systems need able adapt various generate teller-made for individual drivers. The perceptions being fed back system are linguistic values which vague. A neural fuzzy approach is learn decision logic vague from past records adaptive. adaptive-network-based inference (ANFIS) so that self-adjust without user intervention. By integrating this intelligent adaptive capability, a proposed in paper capable adapting gradually provide optimum automatically preferences.