Analysis of human driving behavior with focus on vehicle lateral control

The optimization and further development of automated driving functions offers great potential to relieve the driver in various driving situations and increase road safety. Simulative testing in particular is an indispensable tool in this process, allowing conclusions to be drawn about the design of automated driving functions at a very early stage of development. In this context, the use of driving simulators provides support so that the driving functions of tomorrow can be experienced in a very safe and reproducible environment. The focus of the acceptance and optimization of automated driving functions is particularly on vehicle lateral control functions. As part of this paper, a test person study was carried out regarding manual vehicle lateral control on the dynamic vehicle road simulator at the Institute of Automotive Engineering. The basic block for this is the route generation as a result of the evaluation of curve radii from several hundred thousand kilometers of real measurement data from a vehicle fleet and guidelines for the layout of rural roads in germany. The core component of this paper is the objectification of manual vehicle lateral control and the subdivision into different driving styles. For this purpose, various clustering methods were applied and parameters were calculated that can be used to perform such a categorization and objectification. The generated results of this paper will be used in future work for the development of automated vehicle lateral control which takes human driving behavior into account in order to achieve higher customer acceptance, increase driving comfort and continue to ensure driving safety.