Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts?

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Olger Siebinga;Arkady Zgonnikov;David A. Abbink
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Abstract

Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting drivers. Besides that, researchers have no control over the vehicle kinematics (i.e., positions and velocities) at the start of the interactions. Therefore the relationship between initial kinematics and the outcome of the interaction is difficult to investigate. To address these gaps, we conducted an experiment in a coupled driving simulator with a simplified, top-down view, merging scenario with two vehicles. We found that kinematics can explain the outcome (i.e., which driver merges first) and the duration of the merging conflict. Furthermore, our results show that drivers use key decision moments combined with constant acceleration inputs (intermittent piecewise-constant control) during merging. This indicates that they do not continuously optimise their expected utility. Therefore, these results advocate the development of interaction models based on intermittent piecewise-constant control. We hope our work can contribute to this development and to the fundamental knowledge of interactive driver behaviour.
耦合驾驶模拟器中的人类并线行为:我们如何解决冲突?
并线与高速公路车辆之间的交通互动是一个重要的研究课题,产生了许多关于驾驶员行为的实证研究和模型。这些关于并线的研究大多使用自然数据。虽然这有助于深入了解人类对间隙的接受程度和交通流效应,但却掩盖了相互作用的驾驶员的操作输入。此外,研究人员无法控制交互开始时的车辆运动学(即位置和速度)。因此,很难研究初始运动学与交互结果之间的关系。为了弥补这些不足,我们在一个耦合驾驶模拟器中进行了一项实验,该模拟器采用简化的自上而下视角,包含两辆车的并线场景。我们发现,运动学可以解释并线冲突的结果(即哪个驾驶员先并线)和持续时间。此外,我们的研究结果表明,在并线过程中,驾驶员会使用关键决策时刻与恒定加速度输入相结合(间歇性片断-恒定控制)。这表明他们并没有持续优化其预期效用。因此,这些结果主张开发基于间歇式片断-恒定控制的交互模型。我们希望我们的工作能够为这一发展和交互式驾驶行为的基础知识做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.40
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0.00%
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