COMMOTIONS Urban Interactions Driving Simulator Study Dataset

COMMOTIONS Urban Interactions Driving Simulator Study Dataset是由英国利兹大学运输研究所创建的高保真驾驶模拟器数据集，专注于城市驾驶交互，特别是接近碰撞的情况。数据集包含80名驾驶员在两种紧急交互场景中的160次观察，以及在控制间隙序列中的驾驶员间隙接受数据。创建过程涉及在模拟器中模拟多种驾驶场景，旨在通过模拟接近碰撞的行为来测试和改进自动驾驶车辆的人类交互模型。该数据集的应用领域主要集中在自动驾驶技术的安全测试和人类驾驶行为的准确建模。

The COMMOTIONS Urban Interactions Driving Simulator Study Dataset is a high-fidelity driving simulator dataset developed by the Institute for Transport Studies at the University of Leeds, United Kingdom, focusing on urban driving interactions, particularly near-crash scenarios. The dataset contains 160 observations from 80 drivers across two emergency interaction scenarios, as well as driver gap acceptance data collected from controlled gap sequences. Its development involved simulating various driving scenarios in the simulator, with the core goal of testing and refining human interaction models for autonomous vehicles by replicating near-crash driving behaviors. The primary application domains of this dataset are safety testing for autonomous driving technologies and accurate modeling of human driving behaviors.