@inproceedings {pub5403,
	title = {How do Drivers take a Curve? The Comfort Factor Model (CMF)},
	author = {Julian Eggert AND Karsten Kreutz AND Lina Gaumann AND J{\"u}rgen Adamy},
	year = {2023},
	month = {September},
	abstract = {Human drivers are quite able to anticipate the dynamics that will occur in a curve and adjust their velocity accordingly. However, inapropriate speed estimation in curves is frequent in accidents, either by misjudement of own speed or misestimation of the curve speed of others. In this paper, we investigate which are the major factors which contribute to human curve speed adaptation. We investigate this empirically by extracting undisturbed curve driving trajectories from real-world driving datasets, and analyzing the statistical relationship between between the maximal curvature $\kmax$ along a curve and the minimal velocity $\vmin$ that an averag driver takes when driving along that curve. We then propose the {\bf C}omfort {\bf F}actor {\bf M}odel (CMF), a minimalistic curve driving model explaining the data based on a constant comfort factor $\cf$ which describes how close a driver will drive with respect to the maximally safe velocity along the curve.},
	publisher = {IEEE},
	booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)},
	city = {Bilbao},
	edition = {ITSC 2023},
	pages = {2598-2604}
}