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A fuzzy logic based prediction algorithm is developed which predicts when a driver will use cruise control in their automobile. The fuzzy system reads vehicle speed, the smoothness of vehicle speed, the delta speed from the current speed limit and estimates likelihood of cruise control usage. Over 1700 km of real world driving data was recorded. This data was used to calibrate the membership functions...
This paper presents a study in using quality attribute scenarios to evaluate and improve the software architecture of a control system that plans and affects energy use on a plug-in hybrid electric vehicle. The study confirmed for us the value of the quality attribute workshop approach in an industrial, automotive controls setting. This experience has helped us to understand how we might improve the...
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