Integrating Prediction and Optimization Display Elements Eecting the Human Driving Behavior

Wang, Jiao GND; Söffker, Dirk GND

This contribution is focused on the development of the interface between the human driver and hybrid vehicle. By analyzing the state of art regarding the functional design of the displays from existing hybrid vehicles, it can be observed that only the actual state and history of relevant variables like fuel consumption, state of charge, and distance to empty are displayed. This information is important for the human driver to analyze the realized previous behavior, but what exactly the driver should or could do in next minutes to improve the driving behavior during driving is usually not displayed. In order to improve upcoming behavior and related consequences and therefore to solve the task for further eciency improvement, a new interface has been developed to help the human driver to drive more eciently. By applying the new interface, the human driver can perceive the actual driving situation and predicted corresponding consequences. In comparison, the suggested optimal driving behavior and its consequences will be displayed as well. With the help of the new interface, the human driver can decide which behavior should be taken to improve the actual driving behavior.

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Wang, J., Söffker, D., 2015. Integrating Prediction and Optimization Display Elements Eecting the Human Driving Behavior. Kognitive Systeme 2015. https://doi.org/10.17185/duepublico/37700
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