Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Study for intelligent guide system using soft computing
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Approximation Capabilities of Hierarchical Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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The progress of industrialization and civilization accelerates the complexity of traffic system. To solve the problem of increase of traffic volume and complexity of traffic system, the methods that offer real-time traffic information to drivers like Intelligent Transport System(ITS) are proposed and are researched. Also navigation system that can use in a car is being studied. This paper suggests the selection method of route for the driver's assistant system that can become individual system to driver by addition of driver's tendency. Driver's tendency defines as characteristic of the driver's driving pattern and the selected driving route. This paper infers driver's tendency and characteristics of routes by use of fuzzy logic and simulates the proposed algorithm with Personal Computer(PC) and personal Digital Assistant(PDA).