Results 11 to 20 of about 827,061 (282)

A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data. [PDF]

open access: yesPLoS One, 2022
Distracted driving behavior is one of the main factors of road accidents. Accurately predicting the risk of driving behavior is of great significance to the active safety of road transportation.
Fu X, Meng H, Wang X, Yang H, Wang J.
europepmc   +2 more sources

The Influence of Different Factors on Right-Turn Distracted Driving Behavior at Intersections Using Naturalistic Driving Study Data

open access: yesIEEE Access, 2019
High frequency of distracted driving behavior is considered a high potential risk for traffic safety. Right-turn drivers' distracted driving behavior can dramatically increase the crash risk considering the complex procedures required by the right-turn ...
Bin Lv, Rui Yue, Rui Yue
exaly   +3 more sources

Driving Distractions Among Public Health Center Clients: A Look at Local Patterns During the Infancy of Distracted Driving Laws in California. [PDF]

open access: yesFront Public Health, 2019
Objective: To provide a baseline of various driving behaviors and to identify opportunities for prevention of distracted driving during the infancy of state laws that prohibited cellphone use while operating a motor vehicle, the 2010–2011 Distracted ...
Lyu C   +4 more
europepmc   +2 more sources

Youth perspectives on distracted driving and hands-free laws. [PDF]

open access: yesBMC Public Health
Background Motor vehicle crashes remain a leading cause of death among youth in the United States, and distracted driving—particularly related to cell phone use—is a key contributing factor. Hands-free laws have been enacted in many states to reduce this
Downer C   +6 more
europepmc   +2 more sources

Prevalence and Trends of Distracted Driving in Canada

open access: yesJournal of Safety Research, 2021
This study evaluates prevalence and trends in distracted driving in Canada based on multiple indicators collected from the Road Safety Monitor (RSM) and Canada's National Fatality Database maintained by the Traffic Injury Research Foundation (TIRF).Data from the RSM on self-reported distracted driving behaviors were analyzed using multivariate ...
Ward Vanlaar, Robyn Robertson
exaly   +3 more sources

Distracted Driving on YouTube: Categorical and Quantitative Analyses of Messages Portrayed. [PDF]

open access: yesJMIR Public Health Surveill, 2020
BackgroundDistracted driving is a global epidemic, injuring and killing thousands of people every year. To better understand why people still engage in this dangerous behavior, we need to assess how the public gets informed about this issue. Knowing that
Gjorgjievski M   +6 more
europepmc   +2 more sources

A Distracted Driving Detection Model Based On Driving Performance

open access: yesIEEE Access, 2023
A substantial body of evidence on traffic accidents indicates that distracted driving is a major cause of accidents. To investigate the relationship between driver performance in both normal and distracted states and to discriminate which state a driver ...
Bingxu Fu   +3 more
doaj   +3 more sources

An Integrative Review on Teen Distracted Driving for Model Program Development. [PDF]

open access: yesFront Public Health, 2019
Distracted driving, especially driver inattention, is associated with high levels of crash-related fatalities and injury. Teen novice drivers are one of the groups most likely to drive distracted and to suffer its consequences.
Classen S   +5 more
europepmc   +2 more sources

A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL

open access: yesJournal of Construction Project Management and Innovation, 2021
Distracted driving is known to be one of the core contributors to crashes in the U.S., accounting for about 40% of all crashes. Drivers' situational awareness, decision-making, and driving performance are impaired due to temporarily diverting their ...
Samira AHANGARI   +2 more
doaj   +2 more sources

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