• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation research >Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality
【24h】

Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality

机译：在虚拟现实中与游戏理论自主车辆评估行人互动偏好

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Localisation and navigation of autonomous vehicles (AVs) in static environments are now solved problems, but how to control their interactions with other road users in mixed traffic environments, especially with pedestrians, remains an open question. Recent work has begun to apply game theory to model and control AV-pedestrian interactions as they compete for space on the road whilst trying to avoid collisions. But this game theory model has been developed only in unrealistic lab environments. To improve their realism, this study empirically examines pedestrian behaviour during road crossing in the presence of approaching autonomous vehicles in more realistic virtual reality (VR) environments. The autonomous vehicles are controlled using game theory, and this study seeks to find the best parameters for these controls to produce comfortable interactions for the pedestrians. In a first experiment, participants & rsquo; trajectories reveal a more cautious crossing behaviour in VR than in previous laboratory experiments. In two further experiments, a gradient descent approach is used to investigate participants & rsquo; preference for AV driving style. The results show that the majority of participants were not expecting the AV to stop in some scenarios, and there was no change in their crossing behaviour in two environments and with different car models suggestive of car and last-mile style vehicles. These results provide some initial estimates for game theoretic parameters needed by future AVs in their pedestrian interactions and more generally show how such parameters can be inferred from virtual reality experiments.(c) 2021 Elsevier Ltd. All rights reserved.
机译：静态环境中的自主车辆（AVS）的本地化和导航现在解决了问题，但如何控制与混合交通环境中的其他道路用户的互动，特别是与行人仍然是一个开放的问题。最近的工作已经开始将博弈理论应用于模型和控制AV行人相互作用，因为他们试图避免碰撞时竞争道路上的空间。但是这种博弈论模型仅在不切实际的实验室环境中开发。为了改善他们的现实主义，本研究在在更现实的虚拟现实（VR）环境中接近自动车辆的情况下，在道路交叉期间审查了行人行为。自主车辆使用博弈论控制，这项研究旨在为这些控件寻找最佳参数，为行人产生舒适的互动。在第一个实验中，参与者和rsquo;轨迹在VR中揭示了比以前的实验室实验更谨慎的交叉行为。在另外两个实验中，梯度下降方法用于调查参与者和rsquo;偏好AV驾驶风格。结果表明，大多数参与者都不期望在某些情况下停止AV，并且在两种环境中的交叉行为没有变化，以及不同的汽车模型暗示汽车和最后一英里的车辆。这些结果为未来AVS在行人交互中所需的游戏理论参数提供了一些初始估计，并且更普遍展示如何从虚拟现实实验推断出这些参数。（c）2021 elestvier有限公司保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号