Leveraging machine learning, this study detects when drivers are distracted by texting or voice messaging. The insights gained could help create smarter transportation systems that can warn drivers before it's too late, making our roads much safer.
Read MoreThe systemic approach to safety focuses on implementing widely adopted improvements that target high-risk roadway features associated with severe crashes.
Read MoreWe find that drivers’ choice of the interaction modality is associated with the driving scenarios. Specifically, drivers prefer voice-controlled systems (VCS) when they are driving alone, driving on highways, and driving in an environment with high traffic complexity. Further, drivers have different preferences of interaction modalities for different tasks: when tasks are more distracting and more time-demanding, drivers prefer VCS over manual interactions
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