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2012 Vol.7 Iss.1
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ollision C The International Compendium for Crash Research
Volume 7 Issue 1
"Your team is feeling the pressure of being called out to measure the scene of a crash on a busy section of major freeway. Traffic is backing up and you still have at least another hour of data collection to do. Once you are finally done and the road is cleared, you head back to upload the data collected to your computer and start diagramming when a moment of panic strikes. In a hurry to finish, a few key total station points were missed."
Avoid this situation with 3D laser scanning and Virtual Total Station What is Virtual Total Station? From the comfort and safety of your desk, navigate within a 3D scan and 'shoot' measurement points you deem important. Create a printable measurement log showing X,Y,Z position of points, just as you would with a manual total station.
· Increase officer safety by taking measurements at your computer · No traverse when a point isn't in the line of sight, simply click on any point in the scan · At any time, capture a measurement that may have been overlooked To find out more about the benefits of 3D laser scanning and the Virtual Total Station contact Visual Statement today.
Volume 7, Issue 1 - Spring 2012
· Keep time in the field to a minimum by cutting data collection time
Collision: The International Compendium for Crash Research
THE VIRTUAL TOTAL STATION
Spring 2012
Becoming an Effective Expert Witness Mock Admissibility Hearing Using CDR Accuracy of Toyota EDRs Information Analysis for the Collision Analyst
Plus Articles from the
www.collisionpublishing.com
Contents Spring 2012
inside
Volume 7 Issue 1
4
Letter From the Editor
6
NAPARS: Letter From the President
8
Training Calendar
22
features 10
Accident Reconstruction of an Unwitnessed Bicycle Mishap
by Timothy Joganich 22
A Method for Creating Photograph Textured Planes and Camera Positions in HVE Simulations
50
by Brad R. Shults 38
Using the Monte Carlo Method with Crash Event Data
50
Accuracy of Toyota Event Data Recorders
66
Becoming an Effective Expert Witness
70
Transcript of the CDR Summit Mock Admissibility Hearing for Trial Preparation
by Roger W. Barrette by Richard R. Ruth by William J. Melkonian
by Ron Zacapa 76
Information Analysis for the Collision Analyst
84
Cdr Data From More Than One Car? Fitting It All Together
84
by Jerry S. Ogden, Mathew Martonovich, Zachariah Weimer, and Katrina M. Kloberdanz
by Raymond Wangler 92
Close-Range Photogrammetry for Sightline Obstruction Determination
by Lee DeChant and Gary Cooper 100
Toyota, Lexus, and Scion CDR Coverage
110
Using Data from a DriveCam Video Event Recorder to Reconstruct a Hard Braking Event
by Kent E. Boots
100
by Nathan A. Rose, William T.C. Neale and Neal R. Carter
opinion 121
Peer Review
by Raymond M. Brach, R. Matthew Brach, Jarrod Carter, Joseph Marsh, Donald Parker, Chris Van Ee, and Michael Varat
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Find out more about the next EDR User’s Summit at EDRSummit.com
Monte Carlo Method
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bstract
A
The Monte Carlo Analysis method has been shown to be a successful way to account for the uncertainty of input parameters in a crash reconstruction. The Monte Carlo Analysis (MCA) method evaluates the range of input parameters by selecting a random number between the adopted ranges and carrying that throughout the calculation. Evaluating the randomly selected input variables several
thousand times, results in a normal probability distribution of the analysis results. Descriptive statistics is then used to assess the minimum, maximum, and average results; or maybe a confidence level of what is more probability true than not (51%) or perhaps a range which constitutes a 90% confidence level, or any confidence level the investigator wishes to ascribe to the uncertainty analysis.
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