Results 31 to 40 of about 827,061 (282)
Distracted driving behavior data structure.
, 2022 Distracted driving behavior data structure.
Xue Wang (102830) +4 more
core +1 more source
Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches
IEEE Access, 2022 Distracted driving is any activity that deviates an individual’s attention from driving. Some of these activities include talking to people in the vehicle, using hand-held devices such as mobile phones or tablets, eating or drinking, and adjusting
Naveen Kumar Vaegae +3 more
doaj +1 more source
Exploration of Contributing Factors of Different Distracted Driving Behaviors
Promet (Zagreb), 2019 The motivation of this research is to explore the contributing factors of driving distraction and compare the contributing factors for three typical distracted driving behaviours: drinking water, answering a phone and using mobile phone application (APP)
Jing Shi, Dandan Peng, Yao Xiao
doaj +1 more source
Categories of distracted driving behavior.
, 2022 Categories of distracted driving behavior.
Xue Wang (102830) +4 more
core +1 more source
A new model for behavioural adaption in distracted driving [PDF]
, 2017 There are decades of research suggesting that drivers can compensate for distraction through behavioural adaptations such as selecting lower driving speeds, increasing road environment monitoring, decreasing lane changes, and avoiding overtaking.
Oviedo-Trespalacios, Óscar
core +1 more source
Daily average number of distracted driving behaviors.
, 2022 Daily average number of distracted driving behaviors.
Xue Wang (102830) +4 more
core +1 more source
Scale of each distracted driving behavior code.
, 2022 Scale of each distracted driving behavior code.
Xue Wang (102830) +4 more
core +1 more source
HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers
IEEE Access, 2020 Distracted driving causes a large number of traffic accident fatalities and is becoming an increasingly important issue in recent research on traffic safety. Gesture patterns are less distinguishable in vehicles due to in-vehicle physical constraints and
Chen Huang +4 more
doaj +1 more source
Teens and Distracted Driving [PDF]
, 2009 Presents survey findings on teenagers' ownership and use of cell phones for text messaging and incidence of texting or calling while driving; of riding with distracted drivers, including parents; and of distracted drivers endangering themselves or ...
Amanda Lenhart, Mary Madden
core +2 more sources
A Data Augmentation Approach to Distracted Driving Detection
Future Internet, 2020 Distracted driving behavior has become a leading cause of vehicle crashes. This paper proposes a data augmentation method for distracted driving detection based on the driving operation area. First, the class activation mapping method is used to show the
Jing Wang +3 more
doaj +1 more source