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. For example, a control procedure designed with the proposed model is applied to powertrain control. Simulation and experimental results show good performance by the vehicle control system.