考虑驾驶员战术决策的虚拟交通中虚拟车辆的联合仿真

J. Kaths, B. Schott, F. Chucholowski
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引用次数: 9

摘要

最近的发展,如车辆的自动化程度和连接性的提高,以及对实际驾驶排放的新规定,导致在汽车开发中更多地考虑交通和交通控制。日益复杂的车辆系统需要一个高度虚拟化的开发过程。因此,本文提出了DYNA4虚拟车辆与SUMO微观交通的协同仿真解决方案。尽管自动化程度越来越高,但虚拟测试驱动通常仍然需要虚拟测试驱动程序。因此,通过结合两种工具的驱动模型,扩展了联合仿真解决方案。DYNA4的操作决策水平通过SUMO的战术驾驶员决策进行了扩展,针对复杂周围交通中的虚拟试驾,对交通和交通控制的反应真实,减少了参数化工作量。结果表明,较高的参考速度和更激进的变道参数会导致左侧车道使用率的增加和达到的速度的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-simulation of the virtual vehicle in virtual traffic considering tactical driver decisions
Recent developments such as increasing automation and connectivity of vehicles as well as new regulations for real driving emissions lead to a stronger consideration of traffic and traffic control in automotive development. The increasing complexity of vehicular systems requires a highly virtualized development process. Therefore, a cosimulation solution of DYNA4’s virtual vehicle with SUMO’s microscopic traffic is presented here. Despite increasing automation, virtual test drives often still require a virtual test driver. Thus, the co-simulation solution is extended by combining the driver models of both tools. The operational decision making level of DYNA4 is extended by SUMO’s tactical driver decisions, aiming at virtual test drives in complex surrounding traffic with realistic reaction on traffic and traffic control and reduced parametrization effort. By comparing two variants it is shown that a higher reference speed and more aggressive lane change parameters lead to an increase of usage of the left lane and an increase in achieved speeds.
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