Identification of safety-critical events using kinematic vehicle data and the discrete fourier transform
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- 作者：Robert Klugera ; rmk7su@virginia.edu" class="auth_mail" title="E-mail the corresponding author ; Brian L. Smithb ; Hyungjun Parkb ; Daniel J. Daileyc
- 关键词：Crashes ; Near-crashes ; Safety-critical event ; Naturalistic driving study ; Discrete fourier transform
- 刊名：Accident Analysis & Prevention
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：96
- 期：Complete
- 页码：162-168
- 全文大小：760 K
文摘
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Using high-resolution vehicle trajectories, unsafe driving behaviors was identified.
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A Discrete-Fourier Transform was used to find crashes and near-crashes in NDS data.
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K-Means Clusters correctly identified 78% of the events in this study.
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Applicable for a variety of purposes in both the private and public sector.