使用 SUMO 测试自动化和演示数字化铁路概念

Arne Boockmeyer, Dirk Friedenberger, Lukas Pirl
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摘要

云中列车调度员(ZLiC)是一种基于云的方法,旨在将德国的 Zugleitbetrieb(相当于美国的轨道授权控制)数字化。ZLiC 的目标是用语音转文本、自然语言理解、数字占用表、原型联锁逻辑和语音转文本取代列车调度员。对于在列车上操作的列车长而言,与列车调度员之间的语音通信保持不变。由于 ZLiC 的外部接口要么是语音接口,要么是图形接口,因此从集成层面理解和测试内部组件是一项挑战。为了应对这些挑战,我们首先注入了城市交通仿真(SUMO)作为仿真环境。由于 ZLiC 是基于模型开发的,因此集成时只需进行少量修改。然后,我们获取组件之间的操作命令(如注册列车、定位列车、列车驱动请求),并将其发送到 SUMO 实例,以分析和可视化铁路网络中的列车运行情况。最后,我们插入额外的计划列车,以增加模拟交通量。可重现的操作实现了 ZLiC 的测试自动化,同时重复使用了 SUMO 中的复杂模型。该原型表明,SUMO 可以支持数字化铁路运行程序的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using SUMO for Test Automation and Demonstration of Digitalized Railway Concepts
The Train Dispatcher in the Cloud (ZLiC) is a cloud-based approach to digitalize the German Zugleitbetrieb (comparable to American track warrant control). The ZLiC aims to replace the train dispatcher with speech to text, natural-language understanding, a digital occupancy sheet, a prototype interlocking logic, and text to speech. For train conductors, who operate on the trains, the voice-based communication with the train dispatcher remains unchanged. Because the external interfaces of the ZLiC are either voice-based or graphic, understanding and testing the internal components from an integration level is a challenge. To address these challenges, we first injected the Simulation of Urban Mobility (SUMO) as a simulation environment. Since the ZLiC has been developed model-based, the integration requires minimal modifications. Afterward, we fetch the operation commands (e.g., registering trains, locating trains, drive requests for trains) between the components and send them to a SUMO instance for analyzing and visualizing the train operations in the railway network. Lastly, we insert additional planned trains to add simulated traffic. The reproducible operations enable test automation of the ZLiC while reusing the sophisticated models in SUMO. This prototype shows that SUMO can support the development of digitalized railway operating procedures.
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