Prediction of traffic accident risk based on vehicle trajectory data

The LSTM accident risk prediction model, based on vehicle trajectory, developed in this study, is capable of intelligently extracting dangerous driving features. It can accurately warn about the risk of traffic accidents and provides a novel approach to enhancing road safety.

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Publication Details

Journal
Traffic Injury Prevention
Published
2024-11-21
DOI
https://doi.org/10.1080/15389588.2024.2402936
Citations
9
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
2.39
Controls
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article

Prediction of traffic accident risk based on vehicle trajectory data

Hao Li, Lina Yu
9 citations
Traffic Injury Prevention
Traffic Prediction and Management Techniques
2.39
article

Prediction of traffic accident risk based on vehicle trajectory data

Hao Li, Lina Yu
article en
9 citations

Abstract

The LSTM accident risk prediction model, based on vehicle trajectory, developed in this study, is capable of intelligently extracting dangerous driving features. It can accurately warn about the risk of traffic accidents and provides a novel approach to enhancing road safety.

Traffic Injury PreventionVol. 26(2)
Hubei University of Technology (CN)
Good health and well-being
Openalex Percentile: Top 12%
Traffic Prediction and Management Techniques
2.39
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Prediction of traffic accident risk based on vehicle trajectory data — Hao Li, Lina Yu · Traffic Injury Prevention (2024) | TGRS Research Map | TGRS