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An approach to designing an intelligent vehicle controller for partially supporting driver operation of a vehicle is proposed. Vehicle behavior is regarded as a system performed by the interaction between the driving environment, vehicle as a machine and driver expectations for the vehicle movements. Driver intention to accelerate or decelerate is mainly generated by the perception of the driving environment. The model we propose involves information on the driving environment affecting driver intention taking driver differences in perceiving the driving environment into account. An engineering model for installing the vehicle controller is expressed by a multipurpose decision-maker allowing explicit treatment of the driving environment, vehicle action, and driver intention. A reasoning engine deals with differences in individual driver traits for generating intention to decelerate by using fuzzy integrals and fuzzy measures.

The use of automatic transmissions is continually increasing because of their ease of operation. Transmission performance requirements that have become more important in recent years include smooth shift quality and a shift schedule that matches the driver's intentions. An electronically controlled automatic gearbox, which sets the shift schedule according to the vehicle speed and throttle valve opening, provides a dramatic improvement in shift quality over its hydraulically controlled counterpart. However, even with an electronically controlled automatic transmission, shift hunting occurs when driving uphill or towing an object Based on the use of fuzzy logic, a technique has been developed for estimating running resistance, represented by the road gradient. This technique has been incorporated in a new shift schedule control method that eliminates shin hunting Research is now under way on a fuzzy logic technique for inferring the driver's intention to accelerate