This thesis focuses on relevant topics of traffic safety and future mobility by identifying intersections as traffic situations with the highest potential for improvement of road safety.
Within this thesis, an innovative, human-centered approach for error prevention in the traffic is given.
The performed analysis in the combination with advanced research in this area has resulted in the foundation for the simulative model of driver cognition, which can be applied in the process of assistance development.
Within this thesis experiments conducted within driving simulator identified the substantial requirements for the support in intersection scenarios.
By identifying the most important factors of the task performance at intersections and a systematic analysis of their influence on applied visual strategies, risk perception, task demand and driver cognitive processing, this thesis offers a groundwork for the future development of Driving Assistances on the guidance level of the driving task.
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This thesis focuses on relevant topics of traffic safety and future mobility by identifying intersections as traffic situations with the highest potential for improvement of road safety.
Within this thesis, an innovative, human-centered approach for error prevention in the traffic is given.
The performed analysis in the combination with advanced research in this area has resulted in the foundation for the simulative model of driver cognition, which can be applied in the process of assistance...
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