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Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review
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DOI：10.1016/j.jsr.2026.05.014.png)
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Abstract
En 中文
• This review concerns telematics-based spatial analyses through learning-based methods. • A PRISMA systematic review of 44 studies based on in-vehicle data is presented. • Data collection, features, spatial scales, modeling types & research gaps are discussed. • Telematics-based spatial analysis is rare; deep learning offers useful tools for nuances. • Gaps remain in transferability, multiscale evaluations and graph-based modeling.
Keywords:
Road safety
In-vehicle telematics data
Spatial analysis
Learning-based methods
Artificial intelligence
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