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Cruise Control Using Matlab


Abstract
Conventional cruise control systems fulfil the function of automatic cruise control. A desired speed is selected by the driver, and a control system operates on the throttle to maintain this desired speed. When traffic density is moderate or high, the driver is faced with having to adjust the set speed regularly in order to maintain a comfortable distance from preceding vehicles and will frequently have to brake, disengaging the cruise control. Thus conventional cruise control can become a source of irritation when used in moderate or high traffic. If a distance sensor is added to a conventional cruise control system, then it is possible to add distance keeping to the basic speed control function. This forms the basis for adaptive cruise control, which can be further improved if a limited authority braking system is incorporated. Use can then be made of both throttle and brake actuators to control the distance and relative velocities between a vehicle and a proceeding target vehicle.
Connected Cruise Control (CCC) is a new approach to driver assistance that avoids some of the problems associated with autonomous driver assistance by advising optimal driver behaviour via a human-machine interface. Yet the characteristics of this advice can have a negative impact on driver distraction and additional task demand. While the system is still under development, an evaluation of system effects is needed to identify potential safety issues at an early stage in the design process. For this reason an introduction to CCC is provided, followed by a discussion of how advice attributes can generate distraction and add task demand. Finally, two human factors constructs are provided that can indicate the effects of systems characteristics on driver performance.