Exploring remote operation of heavy vehicles – findings from a simulator study

Jonas Andersson, Daban Rizgary, Mikael Söderman, Johanna Vännström
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Abstract

Fully automated driving has posed more challenges than expected, and remote operation of heavy vehicles is increasingly getting attention. Therefore, human remote operators may have an essential role in compensating for the technological shortcomings in vehicle automation. This poses challenges in designing the work of human remote operators of automated heavy vehicles. This paper presents findings from a research project performed in collaboration between the RISE Research Institutes of Sweden and Scania. In the project, human-automation interaction requirements and challenges for remote operator work were explored through a simulator study. Before the study, three main operator tasks were defined: assessment, assistance, and remote driving. The simulation occurred in a transportation scenario where operators handled ten trucks driving on a public road and confined areas (transportation hub). Fifteen participants completed the study. The results provide examples and insights into classical automation-related challenges in a new context – the remote operation of heavy vehicles. Instances of challenges with situational awareness, out-of-the-loop, trust, and attention management were found and are discussed in relation to HMI design and requirements.
探索重型车辆的远程操作——模拟器研究的结果
全自动驾驶带来的挑战比预期的要多,重型车辆的远程操作越来越受到关注。因此,人类远程操作员可能在弥补车辆自动化的技术缺陷方面发挥重要作用。这对设计重型自动化车辆的人工远程操作员的工作提出了挑战。本文介绍了瑞典RISE研究所和斯堪尼亚公司合作开展的一项研究项目的结果。在该项目中,通过模拟器研究探讨了远程操作员工作的人机交互需求和挑战。在研究之前,确定了操作员的三个主要任务:评估、辅助和远程驾驶。模拟发生在一个运输场景中,操作人员处理10辆卡车在公共道路和狭窄区域(交通枢纽)行驶。15名参与者完成了这项研究。研究结果为重型车辆远程操作这一新背景下的经典自动化相关挑战提供了实例和见解。发现了情境感知、跳出循环、信任和注意力管理方面的挑战实例,并讨论了与HMI设计和需求的关系。
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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