A Modular Simulation Framework for Analyzing Platooning Coordination

Christian Krupitzer, Veronika Lesch, Martin Pfannemüller, C. Becker, Michele Segata
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引用次数: 6

Abstract

Recent developments by companies as Waymo, Uber, or Tesla show that autonomous driving is no science fiction anymore. Coordinated driving applications such as platooning, i.e., driving in convoys of coordinated vehicles, use the full potential of the automation. In this paper, we present a simulation framework for analyzing platooning coordination strategies which can be used by domain experts without experience in simulation as it abstract from the details of the underlying simulation. We show the applicability of the simulation framework to support the analysis of platooning coordination strategies in a case study with three coordination strategies.
一种分析队列协调的模块化仿真框架
Waymo、优步(Uber)和特斯拉(Tesla)等公司最近的发展表明,自动驾驶不再是科幻小说。协调驾驶应用,如队列驾驶,即在协调车辆的车队中驾驶,充分利用了自动化的潜力。在本文中,我们提出了一个分析队列协调策略的仿真框架,该框架可以由没有仿真经验的领域专家使用,因为它从底层仿真的细节中抽象出来。在一个包含三种协调策略的案例研究中,我们展示了仿真框架在支持队列协调策略分析方面的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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