Methodology for Reconciliation of Different Forms of Electronic Data in Vehicle Collision Reconstruction


  • Shawn Ray SEA Ltd



collision, accident reconstruction, electronic data, crash event data, event data recorder, EDR, CDR, airbag, black box, traffic signal timing, video, surveillance, camera match, time distance, vehicle, tractor/trailer, motion capture


Collision analysis utilizing electronic data recorders, videos, traffic signal timing data, and other electronic records adds valuable input but can be a challenge to tie together due to the lack of a finite time stamp or common recording rate. However, overlapping data streams that have a common point-in-time identifier can be resolved. A strategic approach was developed by the author for unifying and validating the vehicle positions and time-distance reconstruction. The method outlines the steps for establishing known data points, forming a common time line, identifying overlapping information, and linking together independent records. A case study demonstrates a crash at a traffic signal-controlled intersection in which each vehicle entered on their respective green lights without conflict; however, the collision still occurred. The crash reconstruction will highlight driver options and demonstrate the value of combining multiple data streams into one time line.


D. P. Couture, “Forensic Engineering Analysis of Traffic Signal Timing and Speeds Prior to Collision by Rule-Based Triage of Indirect Video,” J. Natl. Acad. Forensic Eng., vol. 34, no. 1, 2017.

“Automated Traffic Signal Performance Measures (ATSPM).” (accessed Apr. 26, 2022).

J. R. Effinger, “Automated Traffic Signal Performance Measures.”

P. Koonce and L. Rodegerdts, “Traffic signal timing manual.,” United States. Federal Highway Administration, 2008.

J. Daily, N. S. Shigemura, and J. Daily, Fundamentals of traffic crash reconstruction, vol. 2. Institute of Police Technology & Management, 2006.

R. M. Brach and P. F. Dunn, Uncertainty analysis for forensic science. Lawyers & Judges Publishing Company, 2004.

R. Limpert, Motor Vehicle Accident Reconstruction and Cause Analysis 7th Edition. LexisNexis, 2023.

M. A. Callahan, B. LeBlanc, R. Vreeland, and G. Bretting, “Close-Range Photogrammetry with Laser Scan Point Clouds,” SAE Technical Paper, 2012.

Society of Automotive Engineers, “Measurement of Vehicle-Roadway Frictional Drag,” 2010.

P. L. Olson and E. Farber, Forensic aspects of driver perception and response, 2003.

Institute of Police Technology and Management, “Human Factors in Traffic Crash Reconstruction,” 2019.

T. F. Fugger, J. L. Wobrock, B. C. Randles, A. C. Stein, and W. C. Whiting, “Driver characteristics at signal-controlled intersections,” SAE Technical Paper, 2001.

E. Dynamics and Company, “HVE Software Version SP1”.

MEA Forensic, “PC-Crash Version 13.0”.

D. P. Wood and S. O’Riordain, “Monte Carlo simulation methods applied to accident reconstruction and avoidance analysis,” SAE Trans., pp. 893–901, 1994.

M. Brach, J. Mason, and R. M. Brach, Vehicle accident analysis and reconstruction methods. SAE International, 2022.

Additional Files



How to Cite

Ray, Shawn. 2024. “Methodology for Reconciliation of Different Forms of Electronic Data in Vehicle Collision Reconstruction”. Journal of the National Academy of Forensic Engineers 40 (2).