The thesis presents contributions made to the evaluation and design of a haptic guidance system on improving driving performance in cases of normal and degraded visual information, which are based on behavior experiments, modeling and numerical simulations. The effect of shared control on driver behavior in cases of normal and degraded visual information has been successfully evaluated experimentally and numerically. The evaluation results indicate that the proposed haptic guidance system is capable of providing reliable haptic information, and is effective on improving lane following performance in the conditions of visual occlusion from road ahead and declined visual attention under fatigue driving. Moreover, the appropriate degree of haptic guidance is highly related to the reliability of visual information perceived by the driver, which suggests that designing the haptic guidance system based on the reliability of visual information would allow for greater driver acceptance. Furthermore, the parameterized driver model, which considers the integrated feedback of visual and haptic information, is capable of predicting driver behavior under shared control, and has the potential of being used for designing and evaluating the haptic guidance system.
翻译:论文介绍了在正常和退化的视觉信息情况下,对改进驾驶性能的机能性能的机能性能指导系统的评价和设计的贡献,该系统以行为实验、模型和数字模拟为基础,对正常和退化的视觉信息情况下对驾驶性能的共同控制的影响进行了成功的实验和数字评估。评价结果表明,拟议的机能性能指导系统能够提供可靠的机能性能信息,在视觉隔离从前面的道路到减低疲劳驾驶的视觉关注的性能后,对改进航道有效。此外,适当程度的机能性指导与驾驶者所看到的视觉信息的可靠性密切相关,这表明根据视觉信息的可靠性设计机能性指导系统可以使驾驶者更多地接受。此外,考虑到视觉和机能性信息的综合反馈的参数化驱动器模型能够预测在共同控制下的驾驶性能,并有可能用于设计和评价机能性指导系统。