Results 21 to 30 of about 827,061 (282)
A Distracted Driving Discrimination Method Based on the Facial Feature Triangle and Bayesian Network
Distracted driving is one of the main causes of road crashes. Therefore, effective distinguishing of distracted driving behaviour and its category is the key to reducing the incidence of road crashes.
Tianliu Feng +5 more
doaj +1 more source
Characteristics of Crashes Caused by Distracted Driving on Rural and Suburban Roadways in Jordan
The objective of this study was to identify the most salient driver faults that cause crashes on some Jordanian rural and suburban roadway segments, to examine crashes with distracted driving as the driver’s fault, and to investigate the differences ...
Taleb M. Al-Rousan +2 more
doaj +1 more source
Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network
Driver fatigue and distracted driving are the two most common causes of major accidents. Thus, the on-board monitoring of driving behaviors is key in the development of intelligent vehicles.
Bing-Ting Dong +2 more
doaj +1 more source
Keeping an Eye on Distracted Driving [PDF]
Motor vehicle crashes continue to be a leading cause of injury morbidity and mortality in the United States, and distracted driving is an increasing problem. From 2005 to 2009, despite considerable declines in overall crash-related fatalities, fatalities associated with driver distraction increased by 22%.1 In 2003, cell phone use while driving was ...
Jeffrey H, Coben, Motao, Zhu
openaire +2 more sources
Risky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three ...
Muhammad Sajjad Ansar +4 more
doaj +1 more source
Teens' Distracted Driving Behavior: Prevalence and Predictors [PDF]
Pnina Gershon +2 more
exaly +2 more sources
Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators
This paper discusses a novel approach to an EEG (electroencephalogram)-based driver distraction classification by using brain connectivity estimators as features.
Dulan Perera +4 more
doaj +1 more source
Differential Impact of Personality Traits on Distracted Driving Behaviors in Teens and Older Adults [PDF]
Despina Stavrinos +2 more
exaly +2 more sources
Dangers of Distracted Driving [PDF]
To the Editor: The Viewpoint on distracted driving by Drs Coben and Zhu1 missed the mark on the issues of potential effectiveness of legislation and benefits of hands-free phone interfaces. Coben and Zhu stated that “legislation that cannot be stringently enforced by law enforcement personnel is unlikely to be a deterrent.” Years of experience with ...
openaire +2 more sources

