Driving Safety Scale and Scoring System: Turning Weak Evidences into Strong Safety Performance Scores (TWEAK)

Important results from the project

** Denna text är maskinöversatt ** The project´s fulfilled aims and objective are to develop a new necessary model for the development of information fusion in road safety to also develop an application of the interaction between ADAS and car drivers to increase road safety. It´s about understanding the different types of drivers, their driving behaviors and their specific needs and preferences. Once user segments have been identified, this is then used to define user scenarios that describe how the new HMI concept will be used in different driving situations.

Expected long term effects

The project develops a new basis for using new data sources from on-board cameras and physiological sensors to infer the driver´s state. Driver state data is corroborated with vehicle dynamics and surrounding traffic data to profile the behavior of the ego vehicle, as well as other vehicles and pedestrians nearby. The combination of these data sources is another central focus of this project, enabling next-generation driver assistance systems to understand the driving environment to best assist the driver with informed decision-making and improved driving experience.

Approach and implementation

-Determine the relevant traffic contexts. -Methods for appropriate data analysis. -Identify key trust interactive indicators. -Identify current needs and potential contributions to the HMI factors in different traffic contexts. -The role of human cognition in understanding different traffic contexts in relation to safety. -How can trust be measured consistently and in relation to different traffic contexts? -Suggest a method and process for creating a trustful safety score according to scientific national and international criteria.