%0 Generic
%A Jiao, Yiru
%A Calvert, Simeon
%A van Cranenburgh, Sander
%A van Lint, Hans
%D 2025
%T Data underlying the publication: A unified probabilistic approach to traffic conflict detection
%U 
%R 10.4121/06415947-2b9b-4435-833e-e513ae71a6ed.v1
%K Traffic safety
%K Autonomous driving safety
%K Conflict detection
%K Collision risk
%K Surrogate Measures of Safety
%X <p>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</p>
%I 4TU.ResearchData