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RHAPSODY focuses on analyzing driving behavior to identify both unsafe and optimal driving patterns using machine learning and artificial intelligence. By examining existing European driving data, the project aims to enhance road safety for conventional drivers and autonomous vehicles through improved understanding of…
Driving behaviour analytics is an emerging field with new potential for addressing the human factors that are persistently causing a huge burden of traffic injuries.
However, there is need for new insights regarding driving profiles and patterns identification and a robust relevant methodology is lacking.
The objective of RHAPSODY is to provide evidence for a shift of focus in driving behaviour models, targeting to identify not only the unsafe but also the optimal driving, through the analysis o…
TECHNISCHE UNIVERSITEIT DELFT
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