| Latest validation studies show value of Virtual Risk Manager® for driver risk assessment, monitoring and improvement |
During 2003 and 2004 groundbreaking evaluation research undertaken by Napier University's Centre for Mathematics and Statistics showed a clear statistical link between drivers' performance on the Virtual Risk Manager® RoadRISK™ assessment and their reported collision outcomes. In total the four studies involved eight, thirteen and twenty-six thousand people. |
This remains the only driver risk assessment validation study that we are aware of, and means that as a tool for driver risk assessment, monitoring and improvement, the Virtual Risk Manager® is unique in that it has been validated through applied University research.
The outcome based on 26,000 drivers can be seen in the following graph. It shows a clear relationship between their collisions over the previous three years and their assessment outcomes on attitude, behaviour, knowledge, hazard perception and personal exposure.
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Since these original studies, a number of smaller scale evaluations have been undertaken, the most recent of which is shown below, based on the RoadRISK™ Profile and Defensive Driving assessment outcomes of a mixed group of 50+ commercial and company car drivers employed by a large logistics and express delivery operator in the UK.
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Based on this type of data from our research and experience with many organisations around the world we have developed the following risk assessment allocation rules. |
| Outcome |
% of drivers |
Typical interventions |
| High Risk |
5 - 25 |
RoadRISK™ Profile and Defensive driving feedback
Mandatory computer based training (CBT)
Mandatory 1-1 with manager
Mandatory group-based session
In-vehicle session if required
|
| Medium Risk |
40 - 70 |
Profile and RoadRISK™ feedback
Mandatory CBT
1-1 with manager if required
Group-based session if required
In-vehicle session if required
|
| Low Risk |
10 - 50 |
Profile and RoadRISK™ feedback
Voluntary CBT |
|
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These continuing projects mean that driver risks can be targeted directly on the basis of need and in a cost effective way. They are described in detail in the three following papers:
• Rea M, Murray W, Darby P and Dubens E. Comparing IT-based driver assessment results against self reported and actual crash outcomes in a large motor vehicle fleet. Road Safety Research, Education and Policing Conference, Perth, November 2004
• Murray W and Cuerden A. Virtual Risk ManagerŪ Validation Studies. Interactive Driving SystemsŪ Research report, November 2006
• Darby P, Murray W and Raeside R. Applying online fleet driver assessment to help identify, target and reduce occupational road safety risks. Safety Science, 47 (2009) 436-442
The full versions of all the above papers are available from Interactive Driving SystemsŪ, as are a number of award wining case studies from around the world.
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Contact Us |
Global
Ed Dubens
+1 (609) 465 4001
ed.dubens@virtualriskmanager.net
Western Europe
Andy Cuerden
+44 (0) 1484 551060
andy.cuerden@virtualriskmanager.net
Eastern Europe
Artur Grabowiec
+48 60 007 7714
artur.grabowiec@artrisco.pl
Africa, Asia and Australasia
Will Murray
+44 (0) 1484 551060
will.murray@virtualriskmanager.net
USA and Canada
Paul Sudell
+1 (609) 465 4001
paul.sudell@virtualriskmanager.net
Latin America
Estrella Bonales
+52 (55) 5536-2551
estrella.bonales@virtualriskmanager.net |
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