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A knowledge graph construction method based on co-occurrence for traffic entity prediction
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DOI：10.1016/j.jag.2025.104717.png)
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Abstract
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• Real-time perception alone fails to meet the safety response requirements of defensive driving. • Co-occurrence relationships in real-time sensing boost predictive awareness of hazardous entities. • Forecasting of risky entities provides critical early warning information and allows a valuable response window. • Co-occurrence knowledge graphs and their probability matrices advance forward-looking perception technology.
Keywords:
Co-occurrence relationship
Knowledge graph
Traffic entity prediction
Automated driving
Digital twins
High-definition maps
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