Giang Wayne C W, Zheng Haolan, Gibson Beth, Patel Bhavana, Ramirez-Zamora Adolfo, Winter Sandra, Jeghers Mary, Li Yuan, Classen Sherrilene
Department of Industrial and Systems Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, United States.
Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
Front Neurol. 2023 Oct 13;14:1225751. doi: 10.3389/fneur.2023.1225751. eCollection 2023.
PD is a progressive neurodegenerative disorder that affects, according to the ICF, body systems (cognitive, visual, and motor), and functions (e.g., decreased executive functions, decreased visual acuity, impaired contrast sensitivity, decreased coordination)-all which impact driving performance, an instrumental activity of daily living in the domain of "Activity" and "Participation" according to the ICF. Although there is strong evidence of impaired driving performance in PD, few studies have explored the real-world benefits of in-vehicle automation technologies, such as in-vehicle information systems (IVIS) and advanced driver assistance systems (ADAS), for drivers with PD. These technologies hold potential to alleviate driving impairments, reduce errors, and improve overall performance, allowing individuals with PD to maintain their mobility and independence more safely and for longer periods. This preliminary study aimed to fill the gap in the literature by examining the impact of IVIS and ADAS on driving safety, as indicated by the number of driving errors made by people with PD in an on-road study.
Forty-five adults with diagnosed PD drove a 2019 Toyota Camry equipped with IVIS and ADAS features (Toyota Safety Sense 2.0) on a route containing highway and suburban roads. Participants drove half of the route with the IVIS and ADAS systems activated and the other half with the systems deactivated.
The results suggest that systems that assume control of the driving task, such as adaptive cruise control, were most effective in reducing driving errors. Furthermore, individual differences in cognitive abilities, particularly memory, were significantly correlated with the total number of driving errors when the systems were deactivated, but no significant correlations were present when the systems were activated. Physical capability factors, such as rigidity and bradykinesia, were not significantly correlated with driving error.
Taken together, these results show that in-vehicle driver automation systems can benefit drivers with PD and diminish the impact of individual differences in driver cognitive ability.
根据国际功能、残疾和健康分类(ICF),帕金森病(PD)是一种进行性神经退行性疾病,会影响身体系统(认知、视觉和运动)以及功能(例如执行功能下降、视力下降、对比敏感度受损、协调性下降)——所有这些都会影响驾驶性能,而驾驶性能是ICF中“活动”和“参与”领域的一项日常生活工具性活动。尽管有充分证据表明帕金森病患者的驾驶性能受损,但很少有研究探讨车载自动化技术,如车载信息系统(IVIS)和高级驾驶辅助系统(ADAS)对帕金森病患者的实际益处。这些技术有可能减轻驾驶障碍、减少错误并提高整体性能,使帕金森病患者能够更安全、更长久地保持行动能力和独立性。这项初步研究旨在通过考察IVIS和ADAS对驾驶安全性的影响来填补文献空白,驾驶安全性通过帕金森病患者在道路研究中的驾驶错误数量来体现。
45名被诊断为帕金森病的成年人驾驶一辆配备IVIS和ADAS功能(丰田智行安全2.0)的2019款丰田凯美瑞,行驶在一条包含高速公路和郊区道路的路线上。参与者在IVIS和ADAS系统激活的情况下驾驶一半路程,在系统关闭的情况下驾驶另一半路程。
结果表明,诸如自适应巡航控制等承担驾驶任务控制的系统在减少驾驶错误方面最为有效。此外,认知能力的个体差异,尤其是记忆力,在系统关闭时与驾驶错误总数显著相关,但在系统激活时不存在显著相关性。身体能力因素,如僵硬和运动迟缓,与驾驶错误没有显著相关性。
综上所述,这些结果表明车载驾驶员自动化系统对帕金森病患者有益,并能减少驾驶员认知能力个体差异的影响。