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A meta-analysis of the impacts of operating in-vehicle information systems on road safety
- Source :
- IATSS Research, 43(3)
- Publication Year :
- 2019
-
Abstract
- This study aims to estimate the overall impact of distraction due to operating in-vehicle information systems (IVIS) and similar devices while driving on road crashes. While similar research has been undertaken investigating the issue, varying results have been reported so far. Therefore a two-step approach was adopted: initially a review of the literature was conducted to identify key high quality studies and the parameters that they examined. Afterwards, meta-analyses were applied in order to estimate the overall effects of operating IVIS while driving on the absolute proportion of crashes (i.e. the proportion of total crashes due to IVIS). After applying a random effects meta-analysis to the findings of existing studies, it was found that 1.66% of crashes occur due to operating devices in total. In addition, it is indicated that about 0.6% of safety-critical incidents for professional drivers are due to in-vehicle device operation. The odds of crashes influenced by IVIS operation were also estimated and were found to be very low. From the findings of the present review and the meta-analysis, it is suggested that device operation as a risk factor while driving is a less researched aspect of driver distraction than others, and more studies would improve result estimates and transferability, especially for professional drivers. This study summarizes concisely the current effect of driver interaction with in-vehicle information systems on crashes, which might become considerably pertinent in view of the increasing deployment of vehicles with increasing levels of automation.
- Subjects :
- Computer science
media_common.quotation_subject
Poison control
Transportation
Road crashes
Odds
Transport engineering
03 medical and health sciences
0302 clinical medicine
Operating devices
IVIS
Distraction
0502 economics and business
Information system
Quality (business)
030212 general & internal medicine
media_common
050210 logistics & transportation
Driver distraction
05 social sciences
General Engineering
Human factors and ergonomics
Risk factor (computing)
Random effects model
Urban Studies
Meta-analysis
Safety Research
Subjects
Details
- Language :
- English
- ISSN :
- 03861112
- Database :
- OpenAIRE
- Journal :
- IATSS Research, 43(3)
- Accession number :
- edsair.doi.dedup.....3bfa04009ad8a76f507702bba7aba2d9