United States Department of Transportation
i
Detecting Driver Distraction
-
2018-07-02
-
[PDF-199.22 KB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Research Report
-
Corporate Publisher:
-
Abstract:It is well known that texting during driving causes divided attention, higher cognitive load and accidents. At the same time, many people feel that hands-free talking on the phone is not dangerous. Yet the same type of effort (understanding a conversation, figuring out what to say, feeling emotions, etc.) is present when speaking. While it might be less objectionable at lower speeds on limited access roads, as the amount of issues to deal with increases and as speed increases, driving and speaking on the phone are a very dangerous combination. While there has been much work on detecting distraction in the driver's habits, there is much less on detecting distraction from the point of view of their speech patterns. In order to find a way to alert drivers to imminent danger, the project will develop algorithms that automatically detect, from the driver's speech, when they are too distracted to be driving. The project will first collect data on a simulator under several conditions: changes in speed, changes in unexpected events on the road, changes in amount of information in the conversation. The project will mine this data to find indicators that change as conditions deteriorate along these three parameters. Later work will use the data collected to develop an automatic distraction detection system.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
