Abstract
Car navigation systems are now widely used as a component for intelligent transportation systems. Route planning is the most important task of car navigation systems. Though modern car navigation systems incorporate various road information, even dynamic information, to generate optimal route, but they are yet to present routes according to driver's requirements or preferences. Most of the car navigation systems present a single best route or alternate routes according to systems predefined choices which may not satisfy the driver. In this work a fuzzy genetic approach is proposed to generate alternate routes according to driver's requirement and choice with fine tuning by using feed back mechanism. A simple simulation experiment proves the effectiveness and importance of the concept for developing more user friendly car navigation system with an outline of implementation.
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