Data underlying the publication "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework"

This dataset contains simulated merging interactions on a highway. The model presented in the paper "Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework" was simulated in nine scenarios, each in 100 trials. This model is based on the Communication-Enabled Interaction framework and describes how two human drivers interact during merging in terms of low-level control inputs, safety margins, and high-level decisions (who goes first?). This dataset contains 900 trials where a simulated human-driven vehicle merges onto a single-lane highway occupied by one other simulated human-driven vehicle. The initial velocity differences and gaps between the vehicles vary, resulting in the nine scenarios. We published a software repository on GitHub (see references) containing playback and plotting scripts to use the data.本数据集包含高速公路场景下的仿真汇入交互数据。论文《基于通信交互框架的高速公路汇入场景人类驾驶员行为建模》（Modeling Human Driver Behavior During Highway Merging Using the Communication-Enabled Interaction Framework）中提出的模型，在9类场景中各开展了100次仿真试验。该模型基于通信交互框架（Communication-Enabled Interaction framework），从底层控制输入、安全裕度以及高层决策（如哪一方优先通行）三个维度，阐释了两名人类驾驶员在车辆汇入过程中的交互逻辑。本数据集共计900次仿真试验，场景设定为一辆仿真人类驾驶车辆汇入一条仅通行另一辆仿真人类驾驶车辆的单车道高速公路。试验中车辆间的初始速度差与间距各不相同，由此形成9类差异化场景。我们已在GitHub平台发布了包含数据回放与绘图脚本的软件仓库（详见参考文献），供使用者调用该数据集。