Alexander Willecke, Keno Garlichs, Fynn Schulze, Lars C. Wolf
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引用次数: 0

摘要

各种交通场景,无论是合成的还是现实的,已经发布了交通模拟器SUMO。在协作智能交通系统应用的仿真研究中,采用了包含多种交通状况的现实场景,如协作意识和集体感知。然而,像机动协调(MC)这样的新应用被用于不同的交通情况,如入口匝道合并和高速超车,这不是当前现实场景的重点。为了促进MC领域的研究,我们在本文中提出并展示了法兰克福克罗伊茨相扑交通(FraST)场景。该场景根据实际使用统计数据对高速公路交叉口进行建模,为MC提供了一个具有挑战性的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FraST: Frankfurter Kreuz SUMO Traffic Scenario
Various traffic scenarios, whether synthetic or realistic, have been published for the traffic simulator SUMO. Many realistic scenarios containing various traffic situations were used in simulation studies on Cooperative-Intelligent Transportation Systems applications, such as Cooperative Awareness and Collective Perception. However, new applications like Maneuver Coordination (MC) are used in different traffic situations, like on-ramp merging and high-speed overtaking, which are not the focus of present realistic scenarios. To facilitate research in the field of MC, we present and showcase the Frankfurter Kreuz SUMO Traffic (FraST) scenario in this paper. This scenario models highway intersections according to actual usage statistics, presenting a challenging environment for MC.
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