Enhancing real-time conflict identification using trajectory data: Exploring the impact of interactions among traffic flow state variables

The interaction terms of traffic flow state variables significantly affect and enhance conflict identification, improving accuracy and reducing error rates. These findings contribute to advancing the high-precision identification of real-time conflict identification, with implications for improving road safety measures.

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Publication Details

Journal
Traffic Injury Prevention
Published
2024-11-11
DOI
https://doi.org/10.1080/15389588.2024.2404715
Citations
5
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.74
Controls
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article

Enhancing real-time conflict identification using trajectory data: Exploring the impact of interactions among traffic flow state variables

Dan Wu, Gaoming Wu
5 citations
Traffic Injury Prevention
Anomaly Detection Techniques and Applications
1.74
article

Enhancing real-time conflict identification using trajectory data: Exploring the impact of interactions among traffic flow state variables

Dan Wu, Gaoming Wu
article en
5 citations

Abstract

The interaction terms of traffic flow state variables significantly affect and enhance conflict identification, improving accuracy and reducing error rates. These findings contribute to advancing the high-precision identification of real-time conflict identification, with implications for improving road safety measures.

Traffic Injury PreventionVol. 26(2)
Central South University (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 13%
Anomaly Detection Techniques and Applications
1.74
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