TY - DATA T1 - Data underlying the publication: A unified probabilistic approach to traffic conflict detection PY - 2025/06/06 AU - Yiru Jiao AU - Simeon Calvert AU - Sander van Cranenburgh AU - Hans van Lint UR - DO - 10.4121/06415947-2b9b-4435-833e-e513ae71a6ed.v1 KW - Traffic safety KW - Autonomous driving safety KW - Conflict detection KW - Collision risk KW - Surrogate Measures of Safety N2 -

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

ER -