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Driver behaviour and experience around automated freight vehicle platoons
Proceedings of the Institution of Civil Engineers - Transport ( IF 0.8 ) Pub Date : 2022-07-27 , DOI: 10.1680/jtran.22.00039
Samgyu Yang 1 , Juneyoung Park 2 , Mohamed Abdel-Aty 3
Affiliation  

Autonomous vehicles (AVs) are becoming more common and the market size is growing. In the truck industry, the deployment of a platoon of AVs is emerging as a response to existing safety and environmental problems. However, before autonomous technology can be applied to all vehicles in a traffic flow, mixed traffic containing both AVs and non-autonomous vehicles (NVs) is inevitable. In this study, using a driving simulator and the National Aeronautics and Space Administration Task Load Index survey, the behaviour of NVs at highway inflows and outflows was analysed to understand platoon operation management in mixed-traffic conditions. Unlike previous studies, this study considered an environment in which automated freight vehicle platoons occupy a designated lane and examined vehicle driving characteristics and driver psychology as NVs entered and exited the highway. Statistical methods (analysis of variance and multi-variable analysis of variance) were used to analyse differences according to the situation. It was found that, in entry, a platoon had an effect on drivers and the platoon size had a larger effect than inter-platoon spacing. However, among drivers with driving experience above a certain level, the platoon parameters did not have significant effects on driving. The results of this study provide basic information about the operation and management of a platoon of AVs on mixed-traffic highways.

中文翻译:

自动货运车队周围的驾驶员行为和体验

自动驾驶汽车 (AV) 变得越来越普遍,市场规模也在不断扩大。在卡车行业,为了应对现有的安全和环境问题,正在部署一排自动驾驶汽车。然而,在自动驾驶技术应用于交通流中的所有车辆之前,包含自动驾驶车辆和非自动驾驶车辆(NV)的混合交通是不可避免的。在本研究中,使用驾驶模拟器和美国国家航空航天局任务负荷指数调查,分析了 NV 在高速公路流入和流出时的行为,以了解混合交通条件下的排操作管理。与以往的研究不同的是,这项研究考虑了自动货运车辆排占据指定车道的环境,并检查了 NV 进出高速公路时的车辆驾驶特性和驾驶员心理。根据情况采用统计方法(方差分析、多变量方差分析)进行差异分析。研究发现,在进入时,排对驾驶员有影响,并且排大小的影响比排间距的影响更大。然而,对于具有一定驾驶经验以上的驾驶员来说,队列参数对驾驶的影响并不显着。这项研究的结果提供了有关混合交通高速公路上自动驾驶排的运行和管理的基本信息。根据情况采用统计方法(方差分析、多变量方差分析)进行差异分析。研究发现,在进入时,排对驾驶员有影响,并且排大小的影响比排间距的影响更大。然而,对于具有一定驾驶经验以上的驾驶员来说,队列参数对驾驶的影响并不显着。这项研究的结果提供了有关混合交通高速公路上自动驾驶排的运行和管理的基本信息。根据情况采用统计方法(方差分析、多变量方差分析)进行差异分析。研究发现,在进入时,排对驾驶员有影响,并且排大小的影响比排间距的影响更大。然而,对于具有一定驾驶经验以上的驾驶员来说,队列参数对驾驶的影响并不显着。这项研究的结果提供了有关混合交通高速公路上自动驾驶排的运行和管理的基本信息。排参数对驾驶没有显着影响。这项研究的结果提供了有关混合交通高速公路上自动驾驶排的运行和管理的基本信息。排参数对驾驶没有显着影响。这项研究的结果提供了有关混合交通高速公路上自动驾驶排的运行和管理的基本信息。
更新日期:2022-07-27
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