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A COMPREHENSIVE ANALYSIS OF DISTRACTED DRIVING USING A DRIVING SIMULATOR

https://doi.org/10.7708/ijtte.2020.10(2).10

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aap.2005.04.007openalex-snapshot

Mobile phone use—Effects of handheld and handsfree phones on driving performance

inferredcites →https://doi.org/10.1016/j.aap.2005.09.007openalex-snapshot

Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance

inferredcites →https://doi.org/10.1016/j.aap.2008.10.006openalex-snapshot

Driving while conversing: Cell phones that distract and passengers who react

inferredcites →https://doi.org/10.1016/j.aap.2009.12.024openalex-snapshot

Psychological predictors of college students’ cell phone use while driving

inferredcites →https://doi.org/10.1016/j.aap.2013.02.003openalex-snapshot

Impact of distracted driving on safety and traffic flow

inferredcites →https://doi.org/10.1016/j.aap.2014.07.014openalex-snapshot

Texting while driving: Is speech-based text entry less risky than handheld text entry?

inferredcites →https://doi.org/10.1016/j.aap.2017.10.009openalex-snapshot

How safe is tuning a radio?: using the radio tuning task as a benchmark for distracted driving

inferredcites →https://doi.org/10.1016/j.pmedr.2016.09.003openalex-snapshot

Texting while driving: A study of 1211 U.S. adults with the Distracted Driving Survey

inferredcites →https://doi.org/10.1016/j.tra.2019.04.016openalex-snapshot

A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving

inferredcites →https://doi.org/10.1016/j.trf.2016.11.002openalex-snapshot

Analysis of vehicle-based lateral performance measures during distracted driving due to phone use

inferredcites →https://doi.org/10.1016/j.trf.2017.04.015openalex-snapshot

Mobile phone use while driving-literary review

inferredcites →https://doi.org/10.1016/j.trf.2019.04.018openalex-snapshot

User preferences and design recommendations for voluntary smartphone applications to prevent distracted driving

inferredcites →https://doi.org/10.1080/00140139.2013.824153openalex-snapshot

Driver distraction and inattention, advances in research and countermeasures

inferredcites →https://doi.org/10.1080/17457300.2013.879482openalex-snapshot

Distracted driving: prevalence, problems, and prevention

inferredcites →https://doi.org/10.1177/0018720809353319openalex-snapshot

Text Messaging During Simulated Driving

inferredcites →https://doi.org/10.1177/154193120404801901openalex-snapshot

Passenger and Cell-Phone Conversations in Simulated Driving

inferredcites →https://doi.org/10.13016/m2f7bn-cin0openalex-snapshot

Investigating the Impact of Distracted Driving among Different Socio-Demographic Groups

inferredcites →https://doi.org/10.21949/1525738openalex-snapshot

National Survey on Distracted Driving Attitudes and Behaviors -- 2012

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4772731openalex-extracted

Enhancing Safety Awareness and Neutralizing Distractions: Investigating the Impact of Polychronicity on Distracted Driving Behavior in Young Adults

inferred← citeshttps://doi.org/10.1002/hfm.21049openalex-snapshot

Effect of human–machine interface infotainment systems and automated vehicles on driver distraction

inferred← citeshttps://doi.org/10.1016/j.aap.2024.107474openalex-snapshot

Use of smartphone apps while driving: Variations on driving performances and perceived risks

inferred← citeshttps://doi.org/10.1016/j.cstp.2024.101257openalex-snapshot

An exploratory analysis of factors leading to prevalence of distracted driving behavior in Pakistan

inferred← citeshttps://doi.org/10.1080/10447318.2022.2097784openalex-snapshot

Investigating the Impact of Mounted Mobile Phones on Driving Behavior

inferred← citeshttps://doi.org/10.1109/smc53992.2023.10393914openalex-snapshot

Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model

inferred← citeshttps://doi.org/10.1155/2023/2118553openalex-snapshot

Detection of Driving Distractions and Their Impacts

inferred← citeshttps://doi.org/10.1177/03611981211018695openalex-snapshot

Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier

inferred← citeshttps://doi.org/10.1177/03611981241253597openalex-snapshot

Text and Voice Message Distraction Detection: A Machine Learning Approach Using Vehicle Trajectory Data

inferred← citeshttps://doi.org/10.12794/metadc2179323openalex-snapshot

Behavioral Transportation: The Role of Psychological, Cognitive, and Social Factors in Distracted Driving Behavior

inferred← citeshttps://doi.org/10.26552/com.c.2023.070openalex-snapshot

Accident Response Analysis of Six Different Types of Distracted Driving

inferred← citeshttps://doi.org/10.4271/2021-01-0859openalex-snapshot

Analysis of Alcohol-Impaired Driving on Vehicle Dynamic Control of Steering, Braking and Acceleration Behaviors in Female Drivers

inferred← citeshttps://doi.org/10.52547/crpase.7.3.2392openalex-snapshot

A Comprehensive Review of Driver’s Attention and the Evaluation Methods

inferred← citeshttps://doi.org/10.7708/ijtte.2021.11(1).06openalex-snapshot

PREDICTING DRIVING DISTRACTION PATTERNS IN DIFFERENT ROAD CLASSES USING A SUPPORT VECTOR MACHINE

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