Keywords: K-nearest neighbours
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Journal Articles
Proceedings of the Institution of Civil Engineers - Transport (2026) 179 (1): 51–62.
Published: 04 June 2025
... approaches including random forest, K-nearest neighbours and extreme gradient boosting (XGBoost). The analysis reveals that driving path distractions are highly sensitive to the vehicle gap, manoeuvring speed of entering vehicles, circulating speed of vehicles on the circulatory road, entering vehicle type...

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