Prediction of traffic accident risk based on vehicle trajectory data

Hao Li; Lina Yu

doi:10.1080/15389588.2024.2402936

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JOURNAL ARTICLE

Prediction of traffic accident risk based on vehicle trajectory data

Hao Li Lina Yu

Year: 2024 Journal: Traffic Injury Prevention Vol: 26 (2)Pages: 164-171 Publisher: Taylor & Francis

DOI: 10.1080/15389588.2024.2402936

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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.

Keywords:

Trajectory Transport engineering Poison control Occupational safety and health Computer science Traffic accident Injury prevention Human factors and ergonomics Engineering Risk assessment Forensic engineering Medical emergency Risk analysis (engineering) Computer security Medicine

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Prediction of traffic accident risk based on vehicle trajectory data

Abstract

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Citation History

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