Evaluating Speed/Distance Uncertainty in EDR data
DATE: Friday, 11 September 2026
TIME: 12 noon - 2pm EDT (GMT-4, or 9am-11am Pacific Daylight Time)
COST: Free for NAPARS members; $6 for non-members
ACTAR: This event will be submitted for ACTAR CEU consideration. If approved, accredited attendees should be ready with the i-Attend app to sign in, per the instructions on the ACTAR website: https://actar.org/assets/i-attend.pdf
All attendees will be able to request an attendance certificate during the show.
The show will be recorded and put in the Reference Library along with various supporting material, including the Powerpoint slides.
ABSTRACT: Jodie Immell will share a spreadsheet she uses to evaluate speed-distance relationships in EDR data and evaluate the error rate relative to the crash (as opposed to relative to the EDR data). She will explain how to use the sheet, and discuss how steering and DV variations play into the range of analysis. She will present examples from a few settled cases for both speed and steering with visual simulations. Additionally, she will discuss integrating the results into simulations, in both time forward (simulation) and time rearward (animation)
SPEAKER: Jodie E. Immell, BSME, ACTAR (https://qforensics.com/)
Jodie has over 25 years of experience in accident reconstruction and has investigated thousands of cases. Her expertise includes in-depth analysis of a wide variety of collision types, ranging from large interstate “pileups” to bicycle collisions.
Additionally, Ms. Immell has participated in testing, analysis, and crash reconstruction for large-scale product liability matters, including airbag failures, vehicle crashworthiness, car seats, Ford Explorer rollovers, Toyota Sudden Unintended Acceleration (SUA) collisions, and General Motors ignition switch cases. She specializes in technical analysis of data from a variety of sources, including Toyota Vehicle Control History (VCH), Tesla vehicle logs, event data from Airbag Control Modules (ACMs), Engine Control Modules (ECMs), motorcycles, GPS, and more.
Ms. Immell is certified in remote unmanned aerial vehicle systems and holds a Bachelor of Science degree in Mechanical Engineering from Michigan Technological University.
