The paper focuses on the design of an adaptive cruise control system which follows the behavior of the driver besides the optimization of longitudinal energy and fuel consumption.
IntroductionConventional cruise control systems which are able to maintain steady speed have been used in the automotive industry for several decades. These systems can maintain steady speed by adjusting the propulsion force acting on the vehicle, i.e modifying the throttle status according to the disturbance acting on the vehicle. Among today's middle and premium category vehicles adaptive cruise control systems which are able to follow the preceding vehicle in a driver defined safe distance are becoming increasingly widespread. These systems use radar sensors to observe the traffic, and the intervention of the brake system is also required.In the paper a look-ahead control method for the design of the vehicle's speed is applied, in which the road inclinations and speed limits are taken into consideration, see [9]. In this method information about the current and oncoming road sections such as speed limits and road slopes are required. With the consideration of road information the selected speed can be in coherence with the oncoming road, thus speed can be reduced in advance of a slope or a speed limit. By selecting an optimal speed for the vehicle unnecessary accelerations and brakings can be reduced. This results in moderated energy and fuel consumption and in addition, the wearing of the brake system is also reduced. These attributes of the look-ahead system also benefits the maintenance cost of the vehicle. Several look-ahead methods have already been proposed, see [3,4,10,11].The speed proposed by the look-ahead control system can differ from the speed which is natural for a human driver. The driver's speed selection depends on limited and inaccurate visual information about the oncoming road. The driver's behavior in term of velocity selection is depending on instantaneous effects, such as disturbances acting on the vehicle, the traffic situations etc.The paper focuses on a multi-criteria look-ahead control design considering objectives such as the minimization of energy and consumption as well as the incorporation of the driver behavior. The results of the design are validated in a CarSim simulation environment. This paper is organized as follows. In Section 2 a speed