论文标题
根据给定的流量规则量化实际道路用户行为
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules
论文作者
论文摘要
在道路上开车受到各种交通规则的限制，旨在确保所有交通参与者的安全。但是，人类的道路使用者通常不严格遵守这些规则，导致不同程度的规则合格。与给定规则的这种偏差是当今道路交通的关键组成部分。在自动驾驶中，当未考虑规则偏差时，机器人可以干扰交通流量。在本文中，我们提出了一种从人类驾驶数据中得出规则合规性分布的方法。我们使用Waymo打开运动数据集以及安全距离和速度限制规则来演示我们的方法。
Driving on roads is restricted by various traffic rules, aiming to ensure safety for all traffic participants. However, human road users usually do not adhere to these rules strictly, resulting in varying degrees of rule conformity. Such deviations from given rules are key components of today's road traffic. In autonomous driving, robotic agents can disturb traffic flow, when rule deviations are not taken into account. In this paper, we present an approach to derive the distribution of degrees of rule conformity from human driving data. We demonstrate our method with the Waymo Open Motion dataset and Safety Distance and Speed Limit rules.
