@inproceedings {pub5583,
	title = {Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios},
	author = {Tim Puphal AND Benedict Flade AND Matti Kr{\"u}ger AND Ryohei Hirano AND Akihito Kimata},
	year = {2024},
	month = {December},
	abstract = {This paper addresses human driver models for improved driver support. Nowadays, driver support systems help users to drive safely in many driving situations. However, rich information is available from sensed human driver states according to previous research and is not fully used yet. In this paper, we therefore present a human-based risk model that improves driver support using these human factors. The model uses the current perception of the driver based on driver errors, such as the driver overlooking another vehicle, and the general driving type of the driver, such as the driver being a defensive driver or a confident driver, to improve driver support. In extensive experimental simulations of multiple interactive driving situations, we show that the proposed human-based risk model allows us to warn earlier and to reduce warning errors compared to a baseline approach not using human models. This highlights the generalizability of the approach. We hope that the results of this paper motivate further research to use human models for driver support.},
	publisher = {IEEE},
	booktitle = {IEEE International Conference on Vehicular Electronics and Safety 2024}
}