Data underlying the publication: A unified probabilistic approach to traffic conflict detection

This dataset includes the resulting data of the research: A unified probabilistic approach to traffic conflict detection. It contains a bundled collection of processed experimental data that excludes raw sensor recordings and initial preprocessing outputs. The study is on traffic conflict detection using a unified probabilistic approach. The highD dataset is used for lane-changing dynamics, and the 100Car NDS is used for crash and near-crash events to test the proposed approach. The raw data went through pre-processing steps that add heading directions, extract lane-change trajectories, and align crash data, enabling both conflict probability estimation and intensity evaluation. The scripts that produced these data are open-sourced at https://github.com/Yiru-Jiao/UnifiedConflictDetection

本数据集收录一项题为《面向交通冲突检测的统一概率方法》的研究的成果数据。该数据集包含经整合打包的处理后实验数据，剔除了原始传感器记录与初始预处理输出结果。本研究采用统一概率方法开展交通冲突检测相关工作：使用highD数据集（highD dataset）开展车道变更动力学相关实验，采用100Car NDS数据集（100Car NDS）针对碰撞与近碰撞事件进行测试，以验证所提出的方法。原始数据经过一系列预处理流程，包括添加航向信息、提取车道变更轨迹、对齐碰撞数据，由此可同时实现冲突概率估计与强度评估。生成该数据集的代码脚本已在https://github.com/Yiru-Jiao/UnifiedConflictDetection 开源。