Abstract: Drivers can be identified through patterns in their routine driving behaviours, as observed by analysing the timing and sequence of various manoeuvres. In contemporary mobility contexts, ...

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Abstract: Detecting and alerting distracted drivers is crucial to prevent traffic accidents. Although numerous studies have been proposed that use deep learning methods to detect driver distraction, ...