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Driver's decision analysis in terms of pedestrian attributes — A case study in passing by a pedestrian

机译：行人属性方面的驾驶员决策分析-以行人通过为例

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In this paper, we report a case study on driver's decision in terms of pedestrian attributes. Among various traffic situations, the situation that a vehicle passes by a pedestrian is one of the major situations. To build a safety driving system that supports a non-experienced driver in such a situation, we analyzed how experienced drivers decide to handle the vehicle in such a situation. Since pedestrian's behavior can be considered as a key factor for the decision, and also the behavior is different depending on their “attributes,” such as walking or stopping, noticing the vehicle or not, using a smartphone, etc., we analyzed what pedestrian's attributes affect the driver's decisions. For the analysis, we first built a large-scale dataset of driving data. Using the dataset, we clarified what attributes are dominant for the driver's decision.
机译：在本文中，我们报告了关于行人属性的驾驶员决策的案例研究。在各种交通情况中，车辆通过行人的情况是主要情况之一。为了构建在这种情况下为无经验驾驶者提供支持的安全驾驶系统，我们分析了有经验的驾驶者如何决定在这种情况下操纵车辆的方法。由于行人的行为可以被视为决策的关键因素，并且行人的行为也因行人的“属性”而不同，例如步行或停车，是否注意到车辆，使用智能手机等，因此我们分析了行人的行为属性会影响驾驶员的决定。为了进行分析，我们首先建立了一个大规模的驾驶数据集。使用数据集，我们阐明了哪些属性对驾驶员的决定起主导作用。

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