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Methodological considerations regarding motorcycle naturalistic riding investigations based on the use of g-g diagrams for rider profile detection

机译:基于使用G-G图的骑行性探索检测的摩托车自然骑行调查的方法论

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摘要

In recent decades, methods to realize naturalistic driving studies have been established to investigate the driver behavior under realistic conditions. Compared to the research on passenger cars, the naturalistic behavior of motorcycle riders is still rather unclear from a scientific point of view. However, understanding this behavior can contribute to the development of accident countermeasures. To this end, naturalistic driving methods can be applied to motorcycling. The objective of this study was to present a methodological approach to conduct a naturalistic riding investigation. The methodological considerations were supported by sample results on the rider profile assessment by using g-g diagrams (combination of longitudinal and lateral accelerations). The focus was on observable and measurable vehicle dynamics as a result of the rider input. A three-step approach was adopted, consisting of a pilot study, controlled main study, and naturalistic riding study. The first phase aimed at defining a measurement setup and investigating the general feasibility of using g-g diagrams for rider profile detection. The second phase involved experimental techniques. A heterogenous rider panel was observed in a quasi-controlled setup to better interpret the variations in data patterns resulting from the individual rider behavior opposed to, e.g., road type. The third phase involved the conduct of the naturalistic riding study. Three rider profiles were identified by considering the combinations of lateral and longitudinal accelerations. As a relevant indicator, the qualitatively assessed shape of the g-g diagrams developed rapidly and remained stable over time.
机译:近几十年来,已经建立了实现自然主义驾驶研究的方法来研究现实条件下的驾驶员行为。与乘用车的研究相比,摩托车车手的自然行为仍然不清楚科学的观点。但是,了解这种行为可以有助于发展事故对策。为此,可以将自然驾驶方法应用于摩托车。本研究的目的是提出一种进行自然骑行调查的方法方法。通过使用G-G图(纵向和横向加速度的组合),样本结果通过样本结果支持骑车者简谱评估。由于骑车者输入,重点是可观察和可测量的车辆动态。采用三步办法,包括试点研究,控制主要研究和自然骑行研究。旨在定义测量设置并调查使用G-G图进行骑手轮廓检测的一般可行性的第一阶段。第二阶段涉及实验技术。在准控制的设置中观察到一个异源骑手板,以更好地解释由与例如道路类型相反的各个骑手行为产生的数据模式的变化。第三阶段涉及自然主义骑行研究的行为。通过考虑横向和纵向加速度的组合来识别三个骑手配置文件。作为相关的指标,G-G图的定性评估形状迅速发展,随着时间的推移保持稳定。

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