Transport Research International Documentation (TRID) https://trid.trb.org/ en-us Copyright © 2024. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining https://trid.trb.org/View/2039902 Thu, 20 Oct 2022 10:23:55 GMT https://trid.trb.org/View/2039902 Gaze behaviour and electrodermal activity: Objective measures of drivers’ trust in automated vehicles https://trid.trb.org/View/1632832 Tue, 16 Jul 2019 10:18:34 GMT https://trid.trb.org/View/1632832 Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance https://trid.trb.org/View/1629267 Thu, 13 Jun 2019 17:28:30 GMT https://trid.trb.org/View/1629267 Exploring the self-regulation of secondary task engagement in the context of partially automated driving: A pilot study https://trid.trb.org/View/1627520 Wed, 05 Jun 2019 14:20:37 GMT https://trid.trb.org/View/1627520 Influence of Driving Experience on Distraction Engagement in Automated Vehicles https://trid.trb.org/View/1595391 Mon, 13 May 2019 12:12:18 GMT https://trid.trb.org/View/1595391 A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data https://trid.trb.org/View/1574834 Wed, 23 Jan 2019 17:09:54 GMT https://trid.trb.org/View/1574834 Gaze doesn’t always lead steering https://trid.trb.org/View/1560122 Fri, 26 Oct 2018 17:15:30 GMT https://trid.trb.org/View/1560122 Distractions intervention strategies for in-vehicle secondary tasks: An on-road test assessment of driving task demand based on real-time traffic environment https://trid.trb.org/View/1532394 Mon, 17 Sep 2018 10:32:12 GMT https://trid.trb.org/View/1532394 Systematic review of observational studies on secondary task engagement while driving https://trid.trb.org/View/1528398 Mon, 27 Aug 2018 14:05:02 GMT https://trid.trb.org/View/1528398 Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach https://trid.trb.org/View/1522772 Tue, 31 Jul 2018 08:04:21 GMT https://trid.trb.org/View/1522772 An exploratory study of long-haul truck drivers’ secondary tasks and reasons for performing them https://trid.trb.org/View/1513993 Fri, 22 Jun 2018 16:42:01 GMT https://trid.trb.org/View/1513993 Crash Risk Analysis of Distracted Driving Behavior: Influence of Secondary Task Engagement and Driver Characteristics https://trid.trb.org/View/1506070 60) on the likelihood of engagement in secondary tasks. Logistic Regression analysis was performed on the secondary tasks, socioeconomic attributes, and the specific socioeconomic characteristics. The results identified the significant secondary tasks with high crash risk and the socioeconomic characteristics with significant effect on determining drivers’ involvement in secondary tasks among each tested parameter. These results were used to quantify the grading system measures and hence estimate the proposed CRI. This index indicates the relative crash risk associated with the socioeconomic characteristics of drivers and considering the possibility of engagement in secondary tasks. The proposed CRI and the associated grading system are plausible methods for estimating auto insurance premiums.]]> Fri, 30 Mar 2018 09:54:40 GMT https://trid.trb.org/View/1506070 Crash and Near-Crash Risk Assessment of Distracted Driving and Engagement in Secondary Tasks: A Naturalistic Driving Study https://trid.trb.org/View/1494971 Mon, 26 Mar 2018 14:31:09 GMT https://trid.trb.org/View/1494971 Distracted Driving Behaviors and Beliefs among Older Adults https://trid.trb.org/View/1495150 65) and identify intervention strategies likely to reduce cell distraction. A 64-question survey was offered online and on paper. A distracted driving scale (DDS) was created by summing responses on 11 distracted driving questions related to phone use (possible score range 0 to 44). Linear regression was performed to identify variables associated with a higher DDS score. A total of 363 older drivers completed the survey; the mean age was 73 and 56% were female. 60% of older adults reported using their cell phone while driving at least some of the time. Participants perceived their own ability as capable or very capable when driving and using: handheld phone (40%); hands-free phone (78%); other tasks (38%) while driving. 32% of older adults who drive minors reported driving while distracted. 30% of those who work felt obligated to take work-related calls. Variables associated with distracted driving include younger age, driving more miles, perceived hands-free skill, smart phone ownership, and being employed or self-employed. State laws and potential loss of insurance coverage with distracted driving were cited as effective penalties. Older adults are engaging in distracted driving, including with minors in the car. Education, state laws, and altering insurance coverage may mitigate this behavior.]]> Mon, 26 Mar 2018 14:31:07 GMT https://trid.trb.org/View/1495150 Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) Dataset https://trid.trb.org/View/1497214 Tue, 20 Mar 2018 17:08:19 GMT https://trid.trb.org/View/1497214