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• [P1290] Developing Adaptive Driving Route Guidance Systems Based on Fuzzy Neural Network
  Author(s): Shou-Yan Chou
  
  

  Abstract
  This paper proposes a route guidance system which can be moldable by drivers based on using fuzzy neural network. The self-learning system has become a hot issue in the field of Driving Route Guidance. However, most of the researches didn't pay attention to the relationship between the route choice and the driver's vague perception. Even though with the same starting and destination points, different drivers typically do not go through the same path as they make choices of routes based on different attributes and weighting of the attributes. The adaptive-network-based fuzzy inference system (ANFIS) is used to learn the decision logic with vague attributes from the past driving records of the drivers to make the guidance system adaptive. By integrating this intelligent adaptive capability, a driving route guidance system should be able to adapt to driver's behavior in generating routes teller-made for individual drivers.

  
   

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