Objective: The study was designed to show how driver attention to the road scene and engagement of a choice of secondary tasks are affected by the level of automation provided to assist or take over the basic task of vehicle control. It was also designed to investigate the difference between support in longitudinal control and support in lateral control.
Background:There is comparatively little literature on the implications of automation for drivers'
Eco-driving has the potential to reduce fuel consumption and therefore emissions considerably. Previous research suggests that drivers have a certain level of eco-driving knowledge and skills, which they refrain from practising in their everyday lives. At the same time misconceptions and ambiguous messages from eco-driving support systems can confuse and demotivate. This research aimed to identify the mental models of eco-driving that regular drivers have. A driving simulator experiment with a varied road layout comprising urban and motorway sections was designed. Thefuel-B loud protocols and interviews were compared and analysed. The emphasis of this study was on eco-driving relevant indicators such as accelerating, braking, coasting and car-following. The results show that the participants do have mental models of eco-driving, which they did not use in the Baseline drive, when D M communication with the driver about the momentary efficient speed as well as resulting time losses and fuel savings. In addition, in-vehicle guidance can increase driving safety compared to practicing eco-driving without them.Keywords: Mental models, Driving simulator, Eco driving, Fuel economy; Driver behaviour 3 Highlights Mental models of eco-driving were investigated in a driving simulator experiment The approach combined behavioural data, think aloud protocols and interviews Behaviour and focus changed when participants were asked to drive fuel-efficiently Support systems need to communicate efficient behaviours and maintain safety
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