For many years, researchers use the term driver distraction to discuss the limitations and problems that arise from processing non-driving related tasks while driving on drivers’ performance. Simultaneously to this debate, the knowledge arose that drivers are able to avoid accidents while driving despite the increased workload in multi-tasking situations. Research in non-automated driving shows that drivers own certain abilities or characteristics, which allow them to regulate the workload of driving and additional non-driving related tasks and, therefore, to guarantee a safe driving performance. Building on these findings the completed project FE 82.0614/2014 showed that drivers have similar strategies of regulating their resources in takeover situations of automated driving and that there are trajectory ranges on the road, which drivers estimate as comfortable. The current project aims to combine these research strands. The action relevance of subjectively accepted driving thresholds in terms of the activation of driver strategies was investigated in automated driving. For this purpose, the known thresholds were extended by additional situation factors within an online study. Subsequently, they were verified in the driving simulator. In addition, the action relevance of these thresholds was investigated in a driving simulator and a test track study. Based on the results, recommendations for automated driving functions in sense of adaptive mechanisms in the planning of trajectories were derived.For many years, researchers use the term driver distraction to discuss the limitations and problems that arise from processing non-driving related tasks while driving on drivers’ performance. Simultaneously to this debate, the knowledge arose that drivers are able to avoid accidents while driving despite the increased workload in multi-tasking situations. Research in non-automated driving shows that drivers own certain abilities or characteristics, which allow them to regulate the workload of driving and additional non-driving related tasks and, therefore, to guarantee a safe driving performance. Building on these findings the completed project FE 82.0614/2014 showed that drivers have similar strategies of regulating their resources in takeover situations of automated driving and that there are trajectory ranges on the road, which drivers estimate as comfortable. The current project aims to combine these research strands. The action relevance of subjectively accepted driving thresholds in terms of the activation of driver strategies was investigated in automated driving. For this purpose, the known thresholds were extended by additional situation factors within an online study. Subsequently, they were verified in the driving simulator. In addition, the action relevance of these thresholds was investigated in a driving simulator and a test track study. Based on the results, recommendations for automated driving functions in sense of adaptive mechanisms in the planning of trajectories were derived. (Author/publisher)
Abstract