Abstract
This study deals with construction of estimation algorithm for road conditions in order to predict tire-road friction ahead. Road condition sensing system consists of alebeo value, road image processing and laser rader units. Firstly, field test drives have been carried out to verify the performance of these sensors. From the result, these sensors could decide the difference of the road condition. If the road condition is complication, it is difficult to distinguish by one sensor. Next, in order to deal with these measurement results comprehensively, this estimation algorithm was constructed using a learning system with these values. Finally, it is found possibility that the proposed algorithm could estimate the difference of the road conditions efficiently.
