Analysis of Human Driving behavior with Focus on Vehicle Lateral Control

Jannes Iatropoulos, Anna Panzer, Roman Henze
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Abstract

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 basis 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 analysis of manual vehicle lateral control and the subdivision into different driving styles. For this purpose, various methods were applied and parameters were calculated that can be used to perform such a categorization and be used in future work for 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.
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以车辆侧向控制为重点的人类驾驶行为分析
自动驾驶功能的优化和进一步发展为减轻驾驶员在各种驾驶情况下的负担和提高道路安全提供了巨大潜力。模拟测试尤其是这一过程中不可或缺的工具,它可以在开发的早期阶段就对自动驾驶功能的设计得出结论。在这种情况下,驾驶模拟器的使用提供了支持,使人们可以在非常安全和可重复的环境中体验未来的驾驶功能。接受和优化自动驾驶功能的重点尤其在于车辆横向控制功能。作为本文的一部分,我们在汽车工程研究所的动态车辆道路模拟器上进行了一项关于手动车辆横向控制的测试研究。其基础是根据车队几十万公里的实际测量数据和德国乡村道路布局指南对曲线半径进行评估后生成的路线。本文的核心内容是分析手动车辆横向控制和不同驾驶风格的细分。为此,本文采用了各种方法,并计算出了可用于进行此类分类的参数,这些参数可在今后的工作中用于对象化。本文得出的结果将用于今后开发考虑到人类驾驶行为的自动车辆横向控制,以获得更高的客户认可度,提高驾驶舒适性,并继续确保驾驶安全。
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