Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions
Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions
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DOI：
10.1049/iet-its.2018.0104
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发表时间：
2018-11-01
影响因子：
2.7
通讯作者：
Namdeo, Anil
中科院分区：
文献类型：
--
作者：
Li, Shuo;Blythe, Phil;Namdeo, Anil
开车对于老年人保持机动性很重要。为了减少与年龄相关的功能衰退，年长的司机可能会通过避免困难的情况来调整他们的驾驶。其中一种情况是在恶劣的天气条件下驾驶，如雨、雪和雾，这降低了前方道路的视觉清晰度。即将推出的高度自动化车辆(HAV)具有支持老年人的潜力。然而，只做了有限的工作来研究老年司机与甲型肝炎病毒的相互作用，特别是在恶劣的天气条件下。本研究调查了年龄和天气对甲型肝炎司机接管控制绩效的影响。对76名驾驶员进行了驾驶模拟研究。参与者在晴朗天气、雨雪雾四种天气条件下从HAV手中接管车辆控制权，对接管控制权的时间和质量进行量化和衡量。结果表明，年龄确实影响接管时间(TOT)和质量。此外，恶劣的天气条件，特别是雪和雾，会导致TOT更长，接管质量最差。结果强调，以用户为中心的人机交互设计将有可能在老年司机的不利天气下促进与甲型HAV的安全互动。
Driving is important for older people to maintain mobility. To reduce age-related functional decline, older drivers may adjust their driving by avoiding difficult situations. One of these situations is driving in adverse weather conditions such as in the rain, snow and fog which reduce the visual clarity of the road ahead. The upcoming highly automated vehicle (HAV) has the potential of supporting older people. However, only limited work has been done to study older drivers' interaction with HAV, especially in adverse weather conditions. This study investigates the effect of age and weather on takeover control performance among drivers from HAV. A driving simulation study with 76 drivers has been implemented. The participants took over the vehicle control from HAV under four weather conditions clear weather, rain, snow and fog, where the time and quality of the takeover control are quantified and measured. Results show age did affect the takeover time (TOT) and quality. Moreover, adverse weather conditions, especially snow and fog, lead to a longer TOT and worst takeover quality. The results highlighted that a user-centred design of human-machine interaction would have the potential to facilitate a safe interaction with HAV under the adverse weather for older drivers.