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Abstract



Identification of Driver Unawareness based on User Interaction


In new cars of today there are several electronically controlled systems that seek to aid the driver and make the journey as safe as possible. This include not only systems that directly control the vehicle such as ABS and ESP, but also systems that might make driving easier such as navigation systems, cruise control and even seat adjustments. It is important that the effects on the driver from the use of such systems do not lead to an environment that diverts the attention of the driver from the main task, i.e. driving safely. In this thesis a possible way of modeling the driver distractedness level due to the operation of these systems is discussed. This is done in Simulink with vehicle CAN data as inputs. An expert field test is done with 6 drivers over 18 trial runs with 31 secondary tasks on a highway. Two criteria are used to measure the distractedness, one objective based on the attributes of an element and one subjective, based on the use of the elements while driving during the trials. A lane monitoring system is evaluated and the offset from the lane center over time is used as an external criteria to the distractedness level. There is however no correlation between the external criteria and the subjective distractedness level. The results of the subjective distractedness level are used in the model and possible future extensions to it are discussed

Pär Löfgren

2007

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