cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: Jiao
    given-names: Yiru
    orcid: "https://orcid.org/0000-0001-5009-2642"
  - family-names: Calvert
    given-names: Simeon
    orcid: "https://orcid.org/0000-0002-1173-0071"
  - family-names: van Cranenburgh
    given-names: Sander
    orcid: "https://orcid.org/0000-0002-0976-3923"
  - family-names: van Lint
    given-names: Hans
    orcid: "https://orcid.org/0000-0003-1493-6750"
title: "Data underlying the publication: A unified probabilistic approach to traffic conflict detection"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/06415947-2b9b-4435-833e-e513ae71a6ed.v1
license: CC BY 4.0
date-released: 2025-06-06