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Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

Machine Learning 2022-01-21 v1 Artificial Intelligence Databases Information Retrieval
Authors: Xiaoqiang Kong , Subasish Das , Hongmin Zhou , Yunlong Zhang
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Abstract

This study aims to explore the associations between near-crash events and road geometry and trip features by investigating a naturalistic driving dataset and a corresponding roadway inventory dataset using an association rule mining method.

Keywords

near-crash events naturalistic driving association rule mining road geometry trip features

Cite

@article{arxiv.2201.06523,
  title  = {Patterns of near-crash events in a naturalistic driving dataset: applying rules mining},
  author = {Xiaoqiang Kong and Subasish Das and Hongmin Zhou and Yunlong Zhang},
  journal= {arXiv preprint arXiv:2201.06523},
  year   = {2022}
}

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