2020
DOI: 10.1177/0361198120957309
|View full text |Cite
|
Sign up to set email alerts
|

Connected Vehicle Training Framework and Lessons Learned to Improve Safety of Highway Patrol Troopers

Abstract: The Wyoming Highway Patrol (WHP) investigates more than 7,000 vehicle crashes yearly, often as first-hand responders. They often drive at high speeds through difficult road/weather conditions and under enormous secondary workloads, leading to an increased risk of crash. Connected vehicle (CV) technology can communicate timely road and traveler information messages (TIMs) to troopers, which could significantly reduce the frequency, severity, or both, of these crashes. The majority of the troopers, however, migh… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…It is worth mentioning that the HMI used in this study was carefully designed based on standards for effective HMIs, including readability, clarity, interpretability, accessibility, and ease of handling ( 69 ). Under the WYDOT CV pilot, the effectiveness of the designed HMI and different auditory warning modalities, as well as their minimal distraction impact on drivers, were comprehensively analyzed using vehicles’ trajectories, questionnaire survey, and eye-tracking analysis ( 40 , 47 , 70 73 ). These analyses ensured the reliability of this study’s results.…”
Section: Practical Implicationsmentioning
confidence: 99%
“…It is worth mentioning that the HMI used in this study was carefully designed based on standards for effective HMIs, including readability, clarity, interpretability, accessibility, and ease of handling ( 69 ). Under the WYDOT CV pilot, the effectiveness of the designed HMI and different auditory warning modalities, as well as their minimal distraction impact on drivers, were comprehensively analyzed using vehicles’ trajectories, questionnaire survey, and eye-tracking analysis ( 40 , 47 , 70 73 ). These analyses ensured the reliability of this study’s results.…”
Section: Practical Implicationsmentioning
confidence: 99%