Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data.

  title={Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data.},
  author={Andr'as B'alint and Carol A. C. Flannagan and Andrew Leslie and Sheila G. Klauer and Feng Guo and Marco Dozza},
  journal={Accident; analysis and prevention},
5 Citations
Mining patterns of near-crash events with and without secondary tasks.
Understanding the patterns of these two types of near-crash incidents could help safety researchers, traffic engineers, and even vehicle designers/engineers develop countermeasures for minimizing potential collisions caused by secondary tasks or improper lane changing behaviors.
Monitoring army drivers’ workload during off-road missions: An experimental controlled field study
It is found that drivers’ neural activation changed with exercise complexity, and the EEG signal ratio between Frontal-Theta and Parietal-Alpha power spectra was higher during the most complex exercise, while the EEG workload index was not affected by dual tasking.
The growing gap in pedestrian and cyclist fatality rates between the United States and the United Kingdom, Germany, Denmark, and the Netherlands, 1990–2018
ABSTRACT Using official national data for each country, this article calculates trends in walking and cycling fatalities per capita and per km in the USA, the UK, Germany, the Netherlands, and


Replacement of distractions with other distractions: A propensity-based approach to estimating realistic crash odds ratios for driver engagement in secondary tasks
Two cell-phone propensity models are developed, one with age and one without, to develop weights for events without cell phone use and weighted ORs are lower than unweighted ORs and much lower than ORs compared to ideal driving, consistent with the idea that in practice, even ifcell-phone bans are effective at reducing cell-phones use, they may not greatly reduce risk.
The effects of age on crash risk associated with driver distraction.
Teenaged, young adult drivers and senior drivers are more adversely impacted by secondary-task engagement than middle-aged drivers, whereas cognitive distraction may have a larger impact on young drivers.
Statistical Methods for Naturalistic Driving Studies
  • F. Guo
  • Computer Science
    Annual Review of Statistics and Its Application
  • 2019
The naturalistic driving study (NDS) is an innovative research method characterized by the continuous recording of driving information using advanced instrumentation under real-world driving
Driver crash risk factors and prevalence evaluation using naturalistic driving data
The results show that crash causation has shifted dramatically in recent years, with driver-related factors present in almost 90% of crashes, and definitively show that distraction is detrimental to driver safety, with handheld electronic devices having high use rates and risk.
A Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic Driving
The model, by describing a measure of inatt attention (VTS behavior), can be used in future driver models to improve the computer simulations used to design ADASs and evaluate their safety benefits and could serve as a detailed reference for inattention guidelines.
Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving
Naturalistic driving studies show that drivers engaged in complex visual-manual tasks face an increased risk of a crash or near-crash. Tasks that require many glances and a high proportion of long
Prevalence and self-regulation of drivers’ secondary task engagement at intersections: An evaluation using naturalistic driving data
On the basis of naturalistic driving data, this study examined the prevalence of secondary task engagement at intersections and investigated how drivers self-regulate and manage such activities in
Driving context influences drivers' decision to engage in visual-manual phone tasks: Evidence from a naturalistic driving study.
The results show that experienced drivers use information about current and upcoming driving context to decide when to engage in VM phone tasks, however, drivers may fail to sufficiently increase safety margins to allow time to respond to possible unpredictable events.
The relevance of crash type and severity when estimating crash risk using the SHRP2 naturalistic driving data
Crash risk factors may vary by crash severity. Of 1,465 crashes in the second Strategic Highway Research Program (SHRP2) naturalistic driving dataset, 248 were severe (coded “most severe” or
Review of Driving Performance Parameters Critical for Distracted Driving Research
Abstract While driving simulators allow for the examination of a range of driving performance measures in a controlled, relatively realistic and safe driving environment, driver distraction is a